Madelyn L Wolf

13:54

Are we having class on Thursday this week?

Caitlin M Boucha

14:11

No, just extended office hours

Madelyn L Wolf

14:21

Thank you!!

Kyli R Nault

14:27

Is there lab this week?

Ryan A Moon

15:05

Is the test similar format?

Ida Ky

15:08

What weeks are covered in the exam?

Alexandra Aurelius

15:15

yes there’s lab this week

Madlyn J Ott

15:32

So its not cumulative ?

Caitlin M Boucha

15:35

Material 9/29 to 10/15

Twisha A Boradia

16:53

Is there lab this week?

Maggie L Griffin

17:26

yes

Bassam Zahran

17:27

Can we go over some of the latest problem set?

Zaynab A Somani

19:58

Care these slides posted?

Zaynab A Somani

20:02

*are

Madlyn J Ott

23:49

to find the standard deviation why do you square it and then square root it

Ashley Ochoa

24:10

^^

Liam Martin

28:49

why is k 0?

Neeraj Rajasekar

29:01

"0" is the outcome of interest right now

Liam Martin

29:41

okay thats what i was missing

Liam Martin

29:50

it would be offered by the problem

Linda Lubi

33:42

so expected value is pretty much just the mean, correct?

Neeraj Rajasekar

33:53

More or less, Its the mean of a probability distribution

Lyndsy J Chase

34:04

I thought Binomials only had two possible outcomes, aren't there three here? 0,1, and 2?

Linda Lubi

34:10

okay, thank you!

Neeraj Rajasekar

34:31

Lyndsey's Question: yes, but the 0 1 2 represents the SUM of a different number of yes-no outcomes

Lyndsy J Chase

34:56

Ah, okay thanks

Neeraj Rajasekar

35:07

Np

Ewura-Esi Ewuakye

38:00

Do we always use .00?

Linda Lubi

38:24

when is it that you have to do 1-.0069, when it’s less than??

Neeraj Rajasekar

38:46

Essentially. You'll see the 1 minus... in coming examples

Ryan A Moon

38:50

cant we just look at positive 1.5 on the table and subtract from 1

Peach Schmidtlein

38:53

Why did you use -1.5 if the value is 1.5?

Ewura-Esi Ewuakye

41:21

I thought negative values equal the positive values?

Neeraj Rajasekar

41:45

Sorta. They're mirror images. the area to the RIGHT of the positive is the same as to the LEFT of the negative

Ashley Ochoa

42:10

when do you know to use the negative vs positive z table?

Neeraj Rajasekar

42:19

It will be dependent on the questio

Ewura-Esi Ewuakye

42:45

Why did it have a different number if it’s mirrored?

Neeraj Rajasekar

42:58

the table tells you LEFT all the time, regardless of positive v negative Z

Tom J Moreland

52:31

When the syllabus says "sampling distribution of x-bar," that just means sampling distribution of the sample mean, right?

Neeraj Rajasekar

53:39

Yes. Sampling distributions are (hypothetically) sketched after you derive an X-bar (i.e the sample mean)

Ian M Gullickson

58:43

do you always put the absolute value of the z score?

Kayla T Truong

01:00:15

will we get points dedu

Kayla T Truong

01:00:36

Deducted points if we don’t convert it to percentage

Neeraj Rajasekar

01:02:14

I'd recommend you convert to a percentage.

Ashley Ochoa

01:07:48

how did you get 1.5?

Ryan A Moon

01:07:51

Conceptually why is t used in mean questions and z used in promotions

Ryan A Moon

01:07:54

proportions

Carly Wolff

01:08:10

Can you go to the slide where it’s typed out

Liam Martin

01:09:05

what is the symbol you've underlined in the bottommost equation

Liam Martin

01:09:17

ahuh

Ashley Ochoa

01:10:12

how did you get 1.5? is it just 2.473 x what is next to it?

Neeraj Rajasekar

01:10:42

Yep. 2.47 * 3.2 / root(28) ish

Neeraj Rajasekar

01:11:00

comes out to like 8 / 5.2 ish, approx. 1.5

Ryan A Moon

01:25:32

This isn’t two tailed

Neeraj Rajasekar

01:28:21

You are correct that they both CAN work. but don't get bogged down with that

Ian M Gullickson

01:30:45

Thank you!

Caitlin M Boucha

01:30:50

Thank you

Mikhaela A Arunikaa de Silva

01:30:53

Thank you