WEBVTT
Kind: captions
Language: en

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All right. Hello everyone. Welcome. Where
we going here? Okay

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Welcome to OAME 2020 online version. Okay. Very exciting. My name as you can see

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right here is Kieran Flahive. Okay and my
my presentation today, my my pre-recorded

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session today is called "I failed my math
test -

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now what? Right so pretty exciting there.
You know it happens. Right our students do

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worse on their tests and then we would
like and they would like to do. And and

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you know and your may be like oh alright
this is frustrating. You know I wish they'd

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learned this. But you know what do you do
now? How can you help them make sense of

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their mistakes and and and learn not
just the previous content that was on

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the test but the better the correct way
or the correct ways to learn math going

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forward? All right so that's I'm going to
talk about for about 30 minutes. All

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right.
So I just like I said my name is Kieran.

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This is me. I teach math at Loyola
University Chicago. Obviously in Chicago.

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In the States.
Okay we have a junior college called a

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Arrupe. In fact let's go over here, this
is me right here. Okay. This is where I

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work. Arrupe College. Okay it is a
two-year Community College. Junior

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college. We use those words
interchangeably to the best of my

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understanding. And I've been there for
four years. Right been there for four

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years. I'm from New York City. I taught
New York City middle school and high

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school for five years before that. So
that's a total of nine years teaching.

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Right and I put,  what have I put here, I
put that this session was or is for

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grades 7 through 14. Right 13, 14 being
the first two years of college because

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that's what I taught. And I and I've used
tests corrections for all of those

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grades because I think they're really
valuable. All right so so yeah that's a

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little bit about me.
Right I teach so at Arruppe. Students

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need to take stats before they leave and
graduate with their associates, their

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two-year degree but I also teach some fundamentals

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of math, fundamentals of math course, a
couple precalculus courses that they

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don't put the other one down there, hasn't
been updated and then a stats class we

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have offered now which is really
exciting. The students seem to really be

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liking math. Arrupe's a wonderful place. I
encourage you to look it up. And as

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always you know please feel free to
contact me. It's my email address here if

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you have any questions or comments or
like to see the test correction template.

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Want me to send it to you.
Don't hesitate to reach out

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please. Alright so yeah so so that's the
name of the session right. There it is.

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And then normally I don't find reading
off a slide to be very helpful but I will

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in this case. I think this description is
a good description of what I am going to for the next

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you know half hour or so. Alright so let
me read it. Students fail math tests. It

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happens. How can we as instructors help
them master the content after the test

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has been given so they don't fall
further behind? Right. In my classroom I

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ask students to do test corrections with
a keen eye on finding their mistakes and

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mathematically explaining why their work
is wrong. That's a really important thing.

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We're gonna get to that okay. It can be a
frustrating activity for all parties

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involved. I can assure you of that but an
extremely worthwhile one if done well.

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And I can definitely assure you of that.
Right it is frustrating for students. You

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know who already have done poorly on the
test to then have to you know look back

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at the work that they've done before in
terms of their homework and their

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classwork and their notes. Go back to the
answer key that I send them and then

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find out mathematically what is it they
did wrong. You know it's a frustrating

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activity but it's really worthwhile in
my opinion. Okay so I'll be showing some

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examples of student work. I actually have
the work from one student. I'm in a

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stats class. I don't have any my pre calc
stuff with me unfortunately because of

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you know the quarantine obviously a lot
of my stuff is on my computer at work

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not on my home computer. So it's too bad
but the stats stuff is great. I got a lot

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of good examples here. And then the test
correction template itself that I use in

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the hopes that you might adapt it for
your classroom.

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Right because that's the goal. You want to come out of this and say alright well

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I listened to this guy you know talk for a
little while but you know what can I do?

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How can this help me?
So unfortunately, obviously this activity

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of tests corrections is is an intensive
one. I always encourage students to come

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see me during my office hours. I actually
give them partners in the class that

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they work together with when I gave him
a little bit of class time. But there

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isn't that much time in class in the
lectures. You know between

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lectures and the class work to be doing
this. So I encourage them come see me.

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They have math fellows. So they'll do
that. So it's a little bit harder for

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sure when everything is online. So
obviously we can't fix the timing but I

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hope that's something that you decide to
use you know once we're back, once we're

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back in you know in person. Hopefully in
the fall my gosh. Okay so that's what I'm

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doing. So the test correction template is
right here. Okay it's just a Word

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document.
All right in fact actually shout out to

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an old, an old co-worker, I've been teaching
for nine years. I taught with her for a

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couple of the first years. She taught
algebra with me. Amal is her name. I stole

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this from her. S props to her. You know
I really liked her idea of having

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students learn from their mistakes not
just in class. You know not just in their more

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informal stuff but also in their formal
stuff like exams. And I think that you

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know I've gotten a lot better about
being clear to students on what I'm looking for

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because it's it's definitely challenging
for some of them as I said. But it's still

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I still have some work to do. I still
definitely find myself being like I

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could have explained this better to these
students even when I'm you know I'm

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doing it for nine years now. So yeah so
this is it. So my test usually have 20

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questions. Right usually three or four
chapter or unit tests in every class. And

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I ask them right here just to write down
their incorrect answer with the work.

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Okay if there are multiple parts to the
question I asked him to just to write

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down the part they got wrong. If they
actually did it because this is a stats

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class as not as much algebraic
manipulation happening in a lot of

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these questions so we won't be able to
see that today. But for some of the

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precalc you know, algebra, trigonometry based

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courses, there is a lot more. And so I say
you know write down the part that's

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wrong. Write down the part where you went
wrong there okay. And find that incorrect

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work and write that down.
Then obviously I give them the answer

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key. In fact I have where is it where is
it I have the answer key here

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for the test we are going to looking at. Okay stats 101 is your typical college intro to stats

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class. Kind of like the AP stats
curriculum that we have in the States.

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I think that's in Canada. I don't know.
Maybe not. Sorry I don't know. But yeah so

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so write down the correct answer. Give
that to them and usually I put the work

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down as well. Sometimes I won't if it's a
very similar to what they've done in

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their notes before then I don't bother.
But usually I do. Okay but then the real

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key, once they've written this stuff down
is this part. Okay this part right here

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is really what's important okay. It's the
explanation. It's the saying my answer is

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wrong because what. And as you can see I
don't want them to be overly verbose and

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I'm not looking for paragraphs. I'm
looking for one, two, maybe three sentences

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but really one or two sentences that get
to that get to the main idea of what

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they did wrong. You know and as you'll
see a lot of students despite me saying

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you know this not I'm looking for will write down oh because I didn't I didn't

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I didn't know how to do it or I wasn't
there that day or or I just didn't know

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you know. And it's like I understand that
and I appreciate you understanding that

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and thinking about that as well but
that's not I'm looking for here. What I'm

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looking for is mathematically what where
did you go wrong here? Did you use the

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wrong word? Did you misread you know did you misread the question?

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Where exactly did you misread the
question? Did you do a small calculation

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error? Try to find that mistake right. And
then of course not just why the wrong

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answer is wrong but why is the correct
answer correct right? What you know what

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were the steps you had to do now to get
that correct answer and can you explain

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that mathematically right? And so this is
the key word here and I'm fairly

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nitpicky about this. I give students till
the next test to complete these. They

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have about three
weeks or so and they're welcome to hand

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it in multiple times. Encouraged to come
see me. I'll make sure they proofread it.

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I'm very nitpicky about that. I want
there you know I want them to make sense

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when they write. So yeah so you know it's
it's not you know just kind of like oh

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it's right cuz that's the right answer.
It's right because we did this in class.

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No no no. I want you to explain
mathematically why especially because

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that kind of thinking, that kind of focus
on the why is gonna help you make sense of

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the material down the road. That's kind of
saying, these aren't just processes we're

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doing. There's a reason why we do these
processes. Okay so this is a test

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correction template and I got two per
page. Some other teachers and professors

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I've seen do this will put one on the
page just because it gives a little more

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space right. It's a balance. And I put on
the other side as well you know. So four

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on each page. Yeah obviously I asked
them not to hand it in right. And on

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actually an updated version that I have
at work, that I don't have my personal

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computer, it clarifies again you know
explain mathematically right. Which is

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really the challenge today right.
Especially because like I was saying

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earlier you're working with students who
may have gotten a 50 or 60 or even

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lower on their test. They're already
stressed about, they're already annoyed

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at themselves or whoever. Then you're
asking them to think deeply about what

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they did wrong which is not something
that may be necessarily used to you know.

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And so it can be frustrating but it's
really valuable and it helps the

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students do the right kind of thinking
going forward okay. So yeah so so here's

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a test correction template. Let's look at
some student work here. Okay so I have

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some student work here from a student of
mine. It's okay and then the test itself

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that we have it, this is our unit test
that I've done in years past. I changed it

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up a little bit every year but you know
the first unit, the first couple chapters

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in your intro stats classes pretty
straightforward. Lot of the terminology. We

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have a population, sample, quantitative,
qualitative. Some basic probability. Some

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more definitions about different
sampling techniques. It's cool to do it

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to teach this class and around 2020
because in the States we do our we do

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our census every year which is one of
the few things that anyone really does

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that counts the whole population. And we
have some just more frequency

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distribution tables. Some more
definitions here. Histograms. More

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definitions. And stuff in the
TI-83 calculators that students will

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use where you know we're reviewing
things that they've seen sometimes in

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middle school. Mean, median, mode they get into. Well what about some things that

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are more descriptive. Some things that we
can use a little more advanced like

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standard deviation. Quartiles rather
than just medians right. Some ogives which

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are kind of interesting idea that's
always in stats. Dot plots. Just different

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ways of showing data. Probability here as
well. This is a great question. We'll get to

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this one in a moment. You know just kind
of getting students to think about not

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just the multiplication rule that we
have in stats but also like how does

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that make sense with the pass code with
like an iPhone something that students

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have a lot of familiarity with. Okay so
that's the general idea. Gets a little

00:12:06.970 --> 00:12:09.670
bit tougher towards the end here. We have
to get some conditional probabilities.

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Some "and" "ors" at the end there okay. But
let's take a look. All right let's take a

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look. All right so, let's start. Where do I
want to start here. I don't like to start

00:12:19.890 --> 00:12:26.050
here okay. The student I think submitted six
of these. So I want to look at maybe all

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six. Maybe not. But we're gonna see what
we think about the students the

00:12:29.830 --> 00:12:40.630
students work here. Okay so number 12.
Number 12. Let's look at it. Use the three

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dot plots below to fill in the blanks. All
right you got three dot plots. I don't

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know they're ages of students perhaps. And you can see that they they all have the

00:12:54.520 --> 00:12:59.709
same mean and median. They're both
16.5 right. Right this is

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something we looked at in class a little
bit as well. But and two of them have the

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same range right. One and two, the same
range of 19 minus 14 which is 5.

00:13:08.980 --> 00:13:14.709
Three is a little bit more tighter. A little
closer together. But it's asking which

00:13:14.709 --> 00:13:18.320
one has the greatest
sample standard deviation. They have to

00:13:18.320 --> 00:13:23.240
know what the word means. Standard
deviation - how spread out the data is and

00:13:23.240 --> 00:13:26.390
then they have to kind of look at it.
Sometimes students will put all these

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numbers in a calculator which is kind of
ridiculous but you can do that. So 14 14

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14 14 15 15 15 16 17 and so on. All right
they can do that and then they get their

00:13:35.690 --> 00:13:39.800
answers and compare but it's not
necessary. But you have to look at this

00:13:39.800 --> 00:13:45.200
and say well which one is the most
spread out because that's what the greatest

00:13:45.200 --> 00:13:48.440
sample standard deviation means. You
have to look at them closely.

00:13:48.440 --> 00:13:53.840
So two is spread out. Way more than three but one is the most right, that has the most

00:13:53.840 --> 00:13:59.480
data points furthest from the middle. So
boom and then vice-versa dataset three has

00:13:59.480 --> 00:14:03.710
the smallest or the least sample
standard deviation because they're

00:14:03.710 --> 00:14:08.600
closest together. Okay nothing too crazy
just definitions there. Let's see what

00:14:08.600 --> 00:14:14.270
our student did. Okay so she wrote down
her work boom.

00:14:14.270 --> 00:14:19.370
First on the correct work right she only
got one part of the question wrong okay.

00:14:19.370 --> 00:14:24.650
But then there's some real some stuff
really lacking in this explanation here.

00:14:24.650 --> 00:14:29.240
So my answer is wrong because I was
looking at my notes and just copying

00:14:29.240 --> 00:14:34.970
whatever I had answered in the packet. So
I appreciate her understanding of what

00:14:34.970 --> 00:14:39.890
she did there. That you know the students
get to use notes and a lot of the stuff

00:14:39.890 --> 00:14:45.050
I give them, not everything, but not a lot
its a way for me to help them see the value

00:14:45.050 --> 00:14:48.590
of taking, being neat and taking good
notes. But you know I appreciate that

00:14:48.590 --> 00:14:51.410
she's like oh I just looked at a similar
problem we've done before and just kind

00:14:51.410 --> 00:14:54.710
of run through it. And like that's good
but that's not what I'm looking for here.

00:14:54.710 --> 00:14:59.450
I wanted to explain mathematically why
this is wrong. I mean a good

00:14:59.450 --> 00:15:06.110
good answer I'd want would be well 2 is
wrong because if you look it's got four

00:15:06.110 --> 00:15:11.210
data points at 16, four at 17 and they get smaller as it goes out while it's the opposite

00:15:11.210 --> 00:15:16.190
in number 1 right. That shows me that you
not only know what the definition means

00:15:16.190 --> 00:15:19.880
but you're saying I know what that means
it terms of the way that dots are

00:15:19.880 --> 00:15:26.750
located on the in the problem okay. So
not great. I'd ask the student to redo

00:15:26.750 --> 00:15:31.360
this one. And a similar issue with the
correct answer okay. Yes it's actually answering

00:15:31.360 --> 00:15:36.459
the question yes but that's not that's
not helpful here okay. This is getting

00:15:36.459 --> 00:15:39.880
somewhere. Looking at the evidence given
on the test but that's still not clear

00:15:39.880 --> 00:15:45.730
enough. It's too vague. You'd have to say
you know. What am I looking for here. I'm

00:15:45.730 --> 00:15:50.920
sorry. I should have said, I made a
mistake before. Two is wrong right but

00:15:50.920 --> 00:15:53.230
three, I shouldn't have talked about one
sorry about that,

00:15:53.230 --> 00:15:57.250
three has a lot more, it has six
of them that are within sixteen and

00:15:57.250 --> 00:15:59.290
seventeen rather than the four. Sorry
about that.

00:15:59.290 --> 00:16:03.640
And she would say, you look at it, you can
say even I eyeballed it. They all

00:16:03.640 --> 00:16:06.790
kind of have these bell curve shape
which we get to later in the course.

00:16:06.790 --> 00:16:11.560
Maybe even just say there's sixteen,
seventeen has way more data points and

00:16:11.560 --> 00:16:16.269
that's where the middle is rather than
sixteen seventeen in number two okay.

00:16:16.269 --> 00:16:21.070
So I do like mathematical words but just
showing understanding even without the

00:16:21.070 --> 00:16:25.510
terminology is definitely acceptable for
me at this point in the course okay.

00:16:25.510 --> 00:16:29.170
Sorry keep going the wrong way there. See
my Spotify. Okay so this one I asked the

00:16:29.170 --> 00:16:34.630
student to redo. But this one number
fourteen is a lot better. Here the

00:16:34.630 --> 00:16:37.810
student she's showing a clear
understanding of what I'm looking for

00:16:37.810 --> 00:16:47.020
here. So let's look at number fourteen.
Okay how many different codes of four

00:16:47.020 --> 00:16:52.839
digits, like an iPhone passcode, are
possible if the first digit must be

00:16:52.839 --> 00:17:02.160
three, four, or five and if the code
cannot end in zero? Alright so because

00:17:02.160 --> 00:17:08.740
because each digit is not dependent on
another one, these are all independent, so

00:17:08.740 --> 00:17:11.740
therefore when you're calculating a
probability or a total number of codes

00:17:11.740 --> 00:17:16.209
which is just the denominator for a
probability, you can just multiply all

00:17:16.209 --> 00:17:20.919
the options together right. We'll get to
some we in this course, where you can't

00:17:20.919 --> 00:17:25.600
just do it, you can't just multiply. You have to, you have to do some some more nuanced

00:17:25.600 --> 00:17:29.590
stuff there. There are different rules
right. But for this, they're independent so

00:17:29.590 --> 00:17:33.669
you say how many options do I have for
the first digit? Three, four, or five.

00:17:33.669 --> 00:17:40.070
That's three numbers boom. Second digit.
Well there are 10 digits 0 through 9

00:17:40.070 --> 00:17:44.870
right? It could be any of those, so times
10, times 10, and the last one can't end

00:17:44.870 --> 00:17:51.890
in a zero, so it's one through nine which
is only nine digits. Multiply them together. 2700.

00:17:51.890 --> 00:17:56.800
Cool. All right. Well this student she got it wrong. No big deal.

00:17:56.800 --> 00:18:01.790
Three times nine times nine times eight.
Cool. It is very clear what her what her

00:18:01.790 --> 00:18:06.110
mistake is. She only thought there were
nine she thought there were only

00:18:06.110 --> 00:18:10.550
nine digits but there aren't. There are ten okay.

00:18:10.550 --> 00:18:14.060
And that's her mistake. In fact the
correct there's not too much more to say

00:18:14.060 --> 00:18:17.030
for this. She could have you know
annotated it you know but you don't have

00:18:17.030 --> 00:18:20.270
to. This would be sufficient work
for the question if that was the right

00:18:20.270 --> 00:18:24.830
answer. This was sufficient work. And her
explanation is very clear here. My

00:18:24.830 --> 00:18:29.210
answer is wrong because I forgot to
include zero as a possibility right. Would

00:18:29.210 --> 00:18:32.990
I have liked a little bit more, a little bit
more? Yeah but that's acceptable you know.

00:18:32.990 --> 00:18:37.610
You could say I didn't include zero as a
possible digit. Or you could say I

00:18:37.610 --> 00:18:43.250
you know I included I said there were
nine digits instead of ten total and

00:18:43.250 --> 00:18:48.380
that's wrong. But yeah I mean she has it
all down here. The correct answer is

00:18:48.380 --> 00:18:52.760
correct because when you include zero
that gives you ten digits rather than

00:18:52.760 --> 00:18:57.320
nine. Okay so that's really nice. Not a
crazy big mistake there so a little bit

00:18:57.320 --> 00:19:02.230
easier to explain which is definitely one of 
the tricky part of test corrections

00:19:02.230 --> 00:19:10.040
because the the smaller the mistake you
made the easier to explain your explain

00:19:10.040 --> 00:19:15.830
your work right. But yeah that's a nice
job by her there. So there you go. We

00:19:15.830 --> 00:19:19.130
got two right there. Let's keep going.
Okay some more work here. This is pretty

00:19:19.130 --> 00:19:22.430
typical you know. You got some really
nice things and some that need work and

00:19:22.430 --> 00:19:27.220
you know you improve on it. No big deal.
Okay number 17.

00:19:27.220 --> 00:19:33.530
That's a nice question. Here we go. So this
is our compound probability, independent

00:19:33.530 --> 00:19:38.360
probability here. Okay.
You toss a coin and select a number from

00:19:38.360 --> 00:19:45.140
0 to 9. Are they independent or dependent?
And explain. Right well they don't have

00:19:45.140 --> 00:19:47.630
any relationship to each other. They
don't affect each other.

00:19:47.630 --> 00:19:51.020
So therefore they're independent. That's a
definition right. We got a little bit of

00:19:51.020 --> 00:19:53.370
a math problem here. A little bit of a
calculation problem.

00:19:53.370 --> 00:19:57.990
I'm a probability, excuse me, find the
probability of tossing tails in the coin,

00:19:57.990 --> 00:20:02.399
excuse me on the coin and selecting and
no selecting, oh my god,

00:20:02.399 --> 00:20:05.700
that's a typo there, selecting an odd
number. Cool.

00:20:05.700 --> 00:20:11.909
Or select a number that is odd. Either
way. Okay so well tails,

00:20:11.909 --> 00:20:19.620
one out of two. Odd five out of ten. One,
three, five, seven, nine. Okay you could

00:20:19.620 --> 00:20:24.090
reduce that to one half. Either way you
know you multiply them. Reduce. Students

00:20:24.090 --> 00:20:27.749
have calculators. They can do math. Enter,
enter on their TI-83s to reduce it.

00:20:27.749 --> 00:20:32.129
You get one-fourth. That's the chance of
tossing a tails and selecting a number,

00:20:32.129 --> 00:20:38.840
and odd number. Selecting an odd number okay. So let's see what the student did here.

00:20:38.840 --> 00:20:42.749
So it looks like, I'd have to look back at
their work here, but it looks like they

00:20:42.749 --> 00:20:47.820
just didn't answer the first part of the
question. So they wrote my answer is wrong

00:20:47.820 --> 00:20:52.019
because the variables are independent.
They have no relationship with each

00:20:52.019 --> 00:20:57.299
other. All right that is a period there. I
certainly hope. I think so. That isn't

00:20:57.299 --> 00:20:59.970
exactly what I'm looking for because that's the answer.

00:20:59.970 --> 00:21:05.909
I asked them to explain in the answer.
What she could have said is you know

00:21:05.909 --> 00:21:11.759
they had no relationship because
flipping a coin and tossing a sorry and

00:21:11.759 --> 00:21:16.019
selecting a number from 0 to 9 don't
have any effect or are unrelated. Just to

00:21:16.019 --> 00:21:19.259
get a little bit more detail there would
have been nice. But that's fine what she

00:21:19.259 --> 00:21:22.799
put. Ok then period. The second reason why it's wrong because it was wrong for two

00:21:22.799 --> 00:21:27.299
reasons. The denominator needs to be a 10.  All right now the

00:21:27.299 --> 00:21:30.990
reason for that is obviously there are
10 digits from 0 to 9. It would have been

00:21:30.990 --> 00:21:38.690
nice for her to say and but that's all right.
That's it's kinda in the middle there.

00:21:38.690 --> 00:21:43.289
And then the correct answer is correct
because the denominator in my equation was

00:21:43.289 --> 00:21:46.860
nine when it needed to be 10. Well
that should be more about why the

00:21:46.860 --> 00:21:51.360
answer is wrong. The answers right because now I have a denominator. 10 total digits.

00:21:51.360 --> 00:21:57.869
5 of them are odd. You multiply and you
get, oh 1/4. That's actually wrong because

00:21:57.869 --> 00:22:01.200
didn't put 1.4 which is obviously not the same as 1/4.

00:22:01.200 --> 00:22:05.070
So actually this wouldn't be acceptable
right. When you look look closely here.

00:22:05.070 --> 00:22:08.309
In this case student is getting there
right. Some small mistakes. Just you know

00:22:08.309 --> 00:22:12.299
they can take their time. You know make
sure their proofreading their work. But as

00:22:12.299 --> 00:22:15.330
you can see this is kinda what it looks
like you know. You know students don't

00:22:15.330 --> 00:22:19.409
always make sense of it totally even
second time. That's fine. They go back and

00:22:19.409 --> 00:22:24.750
they proofread them. They can always
do these again. Cool. All right number

00:22:24.750 --> 00:22:34.559
eleven here. This one is not great. All
right this one is with the ogive here.

00:22:34.559 --> 00:22:39.570
We have the leisure time of college
students. This is a cumulative line graph

00:22:39.570 --> 00:22:44.639
meaning we have our 9.5 is
the lowest, 39.5 hours

00:22:44.639 --> 00:22:49.679
a lot of time, the number of students who
fit into the total categories up to that.

00:22:49.679 --> 00:22:54.330
So for example what I mean is the number
of students who have up to 29

00:22:54.330 --> 00:22:59.669
point sorry 24.5 leisure hours is what would that be. that

00:22:59.669 --> 00:23:05.639
would be about I guess I would say like
65. This is be about 65 there.

00:23:05.639 --> 00:23:11.549
That means that includes all the
students below. That means zero students

00:23:11.549 --> 00:23:19.470
had 9.5 hours of leisure. Ten
students had 14.5. What is

00:23:19.470 --> 00:23:23.429
that. We got, what is that, about thirty
five students had 19.5.

00:23:23.429 --> 00:23:28.529
That means, sorry, had up to 19.5. That means twenty five of

00:23:28.529 --> 00:23:32.549
them had somewhere between 14.5 and 19.5.

00:23:32.549 --> 00:23:37.679
The way you find what's in the middle of
these or in this category would be by

00:23:37.679 --> 00:23:42.299
subtracting consecutive ones and that's
tricky there okay because it's uh that's

00:23:42.299 --> 00:23:45.960
because it's cumulative cumulative
excuse me. All right also cuz it's

00:23:45.960 --> 00:23:49.440
cumulative, the sample size is just the
highest bar on the right because it

00:23:49.440 --> 00:23:53.389
tallies up all the previous ones. It
already includes all the previous ones.

00:23:53.389 --> 00:23:57.980
The greatest increase in frequency is
just where the the jump is the biggest.

00:23:57.980 --> 00:24:03.000
Okay and then more than, one kind of way students enjoy leisure time for more than

00:24:03.000 --> 00:24:07.559
29.5 hours, you'd have
to see the jump from that point to the

00:24:07.559 --> 00:24:12.960
top which would be five or ten, you can
see it's kind of hard to tell here

00:24:12.960 --> 00:24:18.600
and so I gave students some leeway about
that answer. Now unfortunately our

00:24:18.600 --> 00:24:24.440
our student didn't really do too much to
explain why it was wrong right.

00:24:24.440 --> 00:24:30.240
Some students are able to say I know why
I got 333. For example there's a chance

00:24:30.240 --> 00:24:36.330
they added it up maybe all of these
numbers. That might be it. Maybe some of these too right.

00:24:36.330 --> 00:24:40.680
And sometimes they don't know that
and that's okay. What they can say

00:24:40.680 --> 00:24:46.380
to me is that that sample size is way
too large because in a cumulative line

00:24:46.380 --> 00:24:52.680
graph or in an ogive the the previous
frequencies are already included and it

00:24:52.680 --> 00:24:57.660
goes up to the highest number is 80 here.
So like somehow just saying that

00:24:57.660 --> 00:25:01.590
number does making sense to me or
showing you an understanding would be

00:25:01.590 --> 00:25:06.630
helpful if they're not exactly sure why
you got that number. Okay same here.

00:25:06.630 --> 00:25:11.370
An increase in frequency has to be between two, between two categories, between two

00:25:11.370 --> 00:25:17.400
classes and it shows only one class. Okay
looks like the student maybe got this

00:25:17.400 --> 00:25:22.260
right maybe. Well I would have accepted
nine as a right answer. I don't

00:25:22.260 --> 00:25:25.830
know if her work was correct,. I didn't ask for work here but they could have left that

00:25:25.830 --> 00:25:29.370
out because nine is valid. I mean I put
five or ten. Anything in between that is

00:25:29.370 --> 00:25:32.640
valid but this one just isn't enough. You
have to be really clear with these.

00:25:32.640 --> 00:25:37.560
It's a three-part question right. They have to
really go through it and say ABC and that

00:25:37.560 --> 00:25:41.880
didn't happen here. But no problem. Room
for improvement.

00:25:41.880 --> 00:25:53.070
Okay last couple ones here. All right
last couple ones. Okay number four.

00:25:53.070 --> 00:25:56.070
All right so these are the sampling
techniques and I give them some

00:25:56.070 --> 00:26:00.180
definitions on this and we look at some
pictures and there are just different ways

00:26:00.180 --> 00:26:04.920
of collecting information from a group
that isn't the whole population. I've got

00:26:04.920 --> 00:26:08.850
simple random sampling and some kind of randomization maybe like random

00:26:08.850 --> 00:26:14.280
number drawing or a lottery or like an
Excel random function right. Stratified

00:26:14.280 --> 00:26:18.960
sampling. We break things into strata or
groups based on some level like income

00:26:18.960 --> 00:26:23.550
levels. Strata groups. Cluster sampling is
usually geographic but its based on

00:26:23.550 --> 00:26:27.150
breaking things into clusters. They're
supposed to be the same like zip codes.

00:26:27.150 --> 00:26:30.270
I would say zip codes don't really have a
lot of the same attributes but that's

00:26:30.270 --> 00:26:33.010
one of the
the possibilities for bias in the

00:26:33.010 --> 00:26:38.260
cluster sampling. Systematic rating
system like in this case every 5th phone

00:26:38.260 --> 00:26:42.010
call is a system right. Or asking every
third person who who walks through the

00:26:42.010 --> 00:26:45.910
door is a systematic sampling.
And convenience is kind of anything else

00:26:45.910 --> 00:26:52.360
that you just do because it's easier and
it forms bias okay. So we have A here.

00:26:52.360 --> 00:26:56.170
To ensure customer satisfaction every fifth
phone call received will be monitored.

00:26:56.170 --> 00:27:02.170
Systematic right. Pretty typical. Kind of
like a TSA PreCheck stuff you know. Every

00:27:02.170 --> 00:27:09.160
you know X number of people who comes
through gets gets targeted. Gets

00:27:09.160 --> 00:27:13.420
asked for additional screening. Whatever it
is right. Okay letter B is a little

00:27:13.420 --> 00:27:18.970
tricky. It should be cluster right. We're interviewing all the

00:27:18.970 --> 00:27:22.540
passengers on some flights. Obviously there are way more than five flights that

00:27:22.540 --> 00:27:27.700
happen per airline or per day or
whatever it is. And so the cluster means

00:27:27.700 --> 00:27:32.410
you breaking things into, you take a
subset right, breaking things into subsets, in this

00:27:32.410 --> 00:27:36.280
case subsets of five and then you ask
all for one of those subsets.

00:27:36.280 --> 00:27:40.480
While in stratified you ask which is
this next one you ask some from all of

00:27:40.480 --> 00:27:44.290
the subsets which is a difference I
should have said earlier okay. I started

00:27:44.290 --> 00:27:48.700
accepting last year simple random
sampling here because I found that word

00:27:48.700 --> 00:27:52.200
to be tricky. Five randomly selected
flights.

00:27:52.200 --> 00:27:57.190
You know cluster is really the answer
there but I've become a pushover as

00:27:57.190 --> 00:28:00.490
I've gotten older I guess and said you
know maybe random isn't totally

00:28:00.490 --> 00:28:05.530
wrong there. But that's cluster. And
stratified. You broke the upper class,

00:28:05.530 --> 00:28:08.880
the sophomore, junior, seniors into

00:28:08.880 --> 00:28:15.520
into the groups by their classes and you
took some from all. 35 from 388, 24 from

00:28:15.520 --> 00:28:21.820
418, 25 from 573. Okay you broke them
into strata and you took some from all the

00:28:21.820 --> 00:28:27.370
strata. Okay so let's see what the
student wrote. So they're telling me that

00:28:27.370 --> 00:28:33.040
they only got C wrong. Okay. You don't to write my incorrect answer but simple random

00:28:33.040 --> 00:28:36.130
sampling. There is no other work to
be shown so they could have just wrote

00:28:36.130 --> 00:28:40.690
simple random sampling. The correct answer is stratified. Okay my answers wrong because

00:28:40.690 --> 00:28:44.110
there is no equal probability of being
selected.

00:28:44.110 --> 00:28:51.850
I really like this answer because in in
random samples, in random samples there

00:28:51.850 --> 00:28:55.360
is, by definition that they want to be
equal. Like drawing something from a lottery

00:28:55.360 --> 00:28:58.270
or picking a number at random out
of a hat. Everything as an equal

00:28:58.270 --> 00:29:01.150
chance. While in here,
you're still creating you know you're

00:29:01.150 --> 00:29:04.840
still creating something that is random
but it's not necessarily equal

00:29:04.840 --> 00:29:08.890
probability and that's that's okay.
In fact you're purposely trying to make

00:29:08.890 --> 00:29:13.090
sure you get some from all those. Some
sophomores. Some juniors. Some seniors.

00:29:13.090 --> 00:29:16.809
Okay and they're not equal. These
proportions are not equal. This case it

00:29:16.809 --> 00:29:22.150
looks like the sophomores are being over
over-represented a little bit. But such is life.

00:29:22.150 --> 00:29:27.520
Okay so that's good. And then
here, this is a correct because, so they'd

00:29:27.520 --> 00:29:31.780
have to write this, but because they are
breaking up groups into smaller groups

00:29:31.780 --> 00:29:37.770
and only asking some of them. It's a
little vague here. They're breaking up

00:29:37.770 --> 00:29:44.110
students into groups by class and asking
some from all of the groups would be a

00:29:44.110 --> 00:29:48.429
little bit more accurate. Just some touch
up here would be great because it needs

00:29:48.429 --> 00:29:51.910
to be a little bit more clear there. Okay
but that's pretty close. It's pretty nice.

00:29:51.910 --> 00:29:58.960
Okay last one. Question number six. All
right where we going here. Okay so this

00:29:58.960 --> 00:30:03.760
one is based on this frequency
distribution table that I have there.

00:30:03.760 --> 00:30:06.940
I just gave them some different
information. It's weight of, I don't know

00:30:06.940 --> 00:30:10.900
maybe they're like, I don't know like a
middle school baseball team or something.

00:30:10.900 --> 00:30:16.660
Who knows right. And these are all the
players. Here are the weight in pounds. The

00:30:16.660 --> 00:30:21.040
midpoints of each class. We've got one, two, three, four, five classes. Relative

00:30:21.040 --> 00:30:23.650
frequency. I said it was fine I left it
as a fraction.

00:30:23.650 --> 00:30:28.000
Cumulative frequency which means the
frequency and everything above it. So 4

00:30:28.000 --> 00:30:34.809
plus 6 is 10. 11 plus 4 plus 6 is 21. So
so so so. Ok the class width though is

00:30:34.809 --> 00:30:39.040
really is asking what's the space
between each class. Okay and notice how

00:30:39.040 --> 00:30:43.870
we're doing these, you're really working
really with whole numbers. And so in this

00:30:43.870 --> 00:30:48.520
case the way to find class width is to
subtract consecutive lower class bounds.

00:30:48.520 --> 00:30:56.110
So 140 minus 135 5. 144 minus 139 5.
You could even subtract consecutive midpoints.

00:30:56.110 --> 00:31:00.360
You got a lot of options there okay. But what you don't do is subtract

00:31:00.360 --> 00:31:04.590
the upper minus the lower. That's just not
the way we do it. Those are really five

00:31:04.590 --> 00:31:10.410
numbers. 135, 136, 137, 138, 139 and
counting and subtraction don't work the

00:31:10.410 --> 00:31:16.080
same way. They're off by one right. So
this explanation here needs some some

00:31:16.080 --> 00:31:21.690
focus on using the right words. She said
I didn't include the last class. She

00:31:21.690 --> 00:31:27.030
means the last possibility in the class,
the last weight in the class. Or you can

00:31:27.030 --> 00:31:30.900
say I subtracted the class max minus the
class min. The class upper bound minus the

00:31:30.900 --> 00:31:33.210
class lower bound right. And that's not
what you do.

00:31:33.210 --> 00:31:38.120
It's not that definition. And here she
did that. I included the last

00:31:38.120 --> 00:31:45.330
well, no this is wrong because 139 is the
last option in that class. You would say

00:31:45.330 --> 00:31:50.940
I subtracted consecutive lower class
limits to find the five. Okay this one

00:31:50.940 --> 00:31:53.700
needs a little work here. All right but
as you can see you know there's some

00:31:53.700 --> 00:31:57.780
really good stuff there that we saw and
some that need some improvement but it's

00:31:57.780 --> 00:32:03.360
not a big deal. You know one of the one
of things I'm constantly working on with

00:32:03.360 --> 00:32:08.720
these test corrections is helping
students who didn't do as well to really

00:32:08.720 --> 00:32:12.299
be clear at their work right because oftentimes the students who did do well

00:32:12.299 --> 00:32:15.720
they're still able to do test corrections,
so I'm happy to let them do them and I

00:32:15.720 --> 00:32:20.070
gave them half the points they lost back.
I don't give partial credit on these

00:32:20.070 --> 00:32:23.490
tests so I let them get half points back
by doing these. Think they're really

00:32:23.490 --> 00:32:28.830
valuable and those points are worthwhile.
So my challenge isn't with those

00:32:28.830 --> 00:32:32.130
students who already kind of made small
mistakes and can find them very easily

00:32:32.130 --> 00:32:36.240
and have the organized notes. But it's
kind of with the students who didn't do

00:32:36.240 --> 00:32:41.250
that. How do we say alright on one hand
you know let's not stress about it, we

00:32:41.250 --> 00:32:44.610
can figure this out you know, we can
learn it but what are the

00:32:44.610 --> 00:32:47.790
mathematical habits you should be
developing to do that you know. That's

00:32:47.790 --> 00:32:50.940
you know obviously coming to class of
course but taking those good notes, being

00:32:50.940 --> 00:32:53.910
organized, referencing your notes when
doing the classwork, referencing your

00:32:53.910 --> 00:32:57.299
classwork when you're doing the homework right.
You know with that structure of learning

00:32:57.299 --> 00:33:00.299
math you know. Sometimes a little
sometimes with me you start out with me

00:33:00.299 --> 00:33:03.450
there and then have students work
together in class but then at home

00:33:03.450 --> 00:33:07.500
you're doing homework usually by
yourself. So just getting more

00:33:07.500 --> 00:33:11.399
autonomy there but still using what you've done before to help you.

00:33:11.399 --> 00:33:15.239
Right those mathematical habits are really
important but also getting students to think

00:33:15.239 --> 00:33:20.789
the right way about like yes, I'm doing
these processes but like why. Yes, this is

00:33:20.789 --> 00:33:23.669
definition. Does this definition make
sense? Is it related to any words that I

00:33:23.669 --> 00:33:27.089
already know. Especially for a lot of
students I have English is not

00:33:27.089 --> 00:33:31.049
necessarily their first language and even if it is, it is not spoken at home. So just

00:33:31.049 --> 00:33:34.529
kind of like getting used to using words
you know. Words they may not know in

00:33:34.529 --> 00:33:37.049
Spanish or whatever it is because
they're because they're math words

00:33:37.049 --> 00:33:41.369
really. There are math words in every
language. Some are right. Some aren't. But

00:33:41.369 --> 00:33:44.999
yeah just kind of building that habit
but also like getting them to fix their

00:33:44.999 --> 00:33:47.789
mistakes. Getting them to find their
mistakes and part of it is giving them

00:33:47.789 --> 00:33:52.229
the answer key. Part of it is pairing
them up with other people. But also

00:33:52.229 --> 00:33:55.349
part of it is me working with them and
saying hey you know look for it you know.

00:33:55.349 --> 00:33:58.499
Like let's try to find this. Don't just
say I don't know where the mistake is.

00:33:58.499 --> 00:34:03.359
I got it wrong cuz it's wrong. But you
know looking back at the work. And it's

00:34:03.359 --> 00:34:08.399
definitely, as the classes become more
algebra, working with more

00:34:08.399 --> 00:34:13.349
algebra heavy classes like pre calc, that
that's even more important because there

00:34:13.349 --> 00:34:19.020
are more steps and more places to go
wrong, And yeah but it's also a little

00:34:19.020 --> 00:34:23.089
bit easier to find the mistakes because
students can kind of work a little more

00:34:23.089 --> 00:34:27.059
down a process as long as I understand
how that process might change if the

00:34:27.059 --> 00:34:32.700
question changes. But that is all I have
for you today. I hope I hope you enjoyed

00:34:32.700 --> 00:34:36.450
me talking at you for 30 minutes or so
whatever that was. I hope you learned

00:34:36.450 --> 00:34:41.520
something from it. Right please email me if you'd like the test correction template or just

00:34:41.520 --> 00:34:47.789
want to say hello or want to reach out.
Yeah so that is it. This is me again

00:34:47.789 --> 00:34:52.500
right. This is us. OAME 2020. Very cool.
First time. Wish it could have been in

00:34:52.500 --> 00:34:58.079
person but this is very cool too.
Thanks to them. Alright email me. Reach

00:34:58.079 --> 00:35:05.089
out. Say hi but that is all.
Alright thanks guys. Enjoy.

