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Stat 88 class - Shared screen with speaker view
Alex xi
21:34
yes
Sophie
21:35
yes!
joel chang
21:35
yep
Kaci Gu
21:36
yes
joel chang
22:02
Thank you
Laura Nguyen
23:22
it’s a lot
Jooee Karwande
23:36
Material makes sense
isaacecheto
23:43
It’s making sense though
YeJin Ahn
23:51
makes sense but dense
celinewherritt
23:59
Can be kinda confusing
Alex xi
24:05
yes
celinewherritt
24:09
Yes like A/B testing
mayareuven
24:12
yes
isaacecheto
27:35
Reject null
YeJin Ahn
27:36
reject
celinewherritt
27:38
Reject null , its above
michellecan
27:38
reject
Zachary Zhu
27:38
reject
Kieran Cottrell
27:42
reject
Matthew Simon
31:14
In the above example, how did you get the population standard deviation to be .7? Wasn’t .7 the standard deviation of one sample of size 100?
Kaci Gu
32:14
this is a qn about the warm-up problem too. Is the confidence interval open or closed?
amywang
34:20
What’s the difference between x bar and mu?
Michael Madden
36:50
maui beast!!
Micah Grim
37:13
Good question Matthew
amywang
37:24
yes
amywang
37:27
Thank you
Matthew Simon
38:34
Thank you michaels
Laura Nguyen
41:17
can you clarify what it means when you say we’re each making 95% CIs
Joshua Kim
41:51
Is this saying 95% of us will have the correct CI?
Laura Nguyen
42:28
yes thanks
Joshua Kim
42:59
ok
Joshua Kim
43:01
yes
Noah Wadhwani
43:26
No
Forrest Kim
43:26
No
Matthew Simon
43:30
No
Natalie
43:32
no
mayareuven
43:33
No
Rebecca Hu
43:34
no
parkersalomon
43:40
no
YeJin Ahn
43:45
100
Jooee Karwande
44:05
no either it con
Zachary Zhu
45:31
So just to clarify, does that mean that we cannot assign probability once an interval is fixed?
Zachary Zhu
46:18
Thank you
Michael Madden
48:04
when was this sample taken
louisnorris
50:00
Is that the same thing as saying 95% of all the samples will fall in the range we found?
louisnorris
51:19
okay thank you
amywang
51:22
Is this saying that 95% of samples of this size from the population will contain CI’s with mu?
michellecan
52:08
Resample from the sample
Andrew
52:16
sample the sample with replacement
Michael Madden
52:25
do this process over and over from the pop
Michael Madden
52:42
1174?
Joshua Kim
52:45
Whatever the sample size of the sample is
Michael navruzyan
56:20
does CLT apply on the resampled with replacement samples?
Dorkhan Chang
59:09
how do we bootstrap without python on a quiz/final
Michael navruzyan
01:00:48
thanks
Joshua Kim
01:05:19
Isn’t it 2sigma/sqrt(n)?
Rebecca Hu
01:05:33
Is sigma the sd for the population or the sample?
Claire MccCallick
01:05:39
yes
Jingyu Han
01:05:44
Yes
Jooee Karwande
01:05:53
yes
parkersalomon
01:05:54
no
YeJin Ahn
01:05:55
no
Zachary Zhu
01:05:56
No
Justin Im
01:05:58
no
Forrest Kim
01:06:02
no
Micah Grim
01:06:09
Absolutely not
Matthew Simon
01:06:57
Can you please repeat what 5.8 is the standard deviation of?
Forrest Kim
01:07:29
What is the significance of the bounds of a confidence interval?
Joshua Kim
01:07:45
So there is a 95% chance that the population mean is contained within that interval?
Matthew Simon
01:09:20
Is 5.8 an approximation based on the sample, though?
isaacecheto
01:10:53
city
Rebecca Hu
01:10:55
City
celinewherritt
01:12:19
income
Michael navruzyan
01:13:31
could you explain how it is "all possible" simple random samples
celinewherritt
01:13:36
false
michellecan
01:13:37
false
Kaci Gu
01:14:06
Thank you
mayareuven
01:14:06
thank you!
louisnorris
01:14:10
thanks!
Joshua Kim
01:14:11
Thanks
lucyzhang
01:14:14
Can u repeat all the reasonings behind last Q pls
isaacecheto
01:14:16
Thanks prof
Jingyu Han
01:14:17
Thank you!
Micah Grim
01:14:19
Thanks uncle adam
Claire MccCallick
01:14:19
Can you explain why C is false?
Tanvee Joshi
01:14:22
Thank you!
lucyzhang
01:16:20
Can u repeat all the reasonings behind last Q plsFrom isaacecheto to Everyone: (03:01 PM)

4000 is from SD of sample not city?
Claire MccCallick
01:16:33
I think it might be a typo?
lucyzhang
01:16:38
Wait 4000 sorry nvm
Rebecca Hu
01:16:46
4000 is the 2sd / root n
Michael navruzyan
01:18:04
can you please go over why its the averages of all possible simple random samples again?
Matthew Simon
01:18:22
So is the standard deviation of 40,000 an approximation of the city’s SD based on what we got in a large sample?
Claire MccCallick
01:18:44
Okay, thank you!
Claire MccCallick
01:18:49
yes
Claire MccCallick
01:18:53
Much better
sophia
01:19:00
So the CI is for the sample?
lucyzhang
01:19:08
Can u go over a and b also pls
sophia
01:22:54
why 40000 not 4000 for part d?
lucyzhang
01:25:03
Is it frozen or just me? Sorry
YeJin Ahn
01:25:05
can’t hear you professor
lucyzhang
01:25:16
^^
sophia
01:25:19
^^^
Adam Lucas
01:25:36
can’t hear me? hold on
lucyzhang
01:25:47
Okay! Thx
Matthew Simon
01:26:14
I’m still confused on how we get the the population’s standard deviation to be 40,000. We aren’t explicitly told this, but rather are told that the standard deviation of one sample of size 400 is 40,000. But then in calculating the standard deviation of the sample distribution, we use 40,000 for the population standard deviation. Could you please explain this?
lucyzhang
01:26:22
^^
sophia
01:27:02
yes
Matthew Simon
01:27:02
Yes
YeJin Ahn
01:27:04
yes
sophia
01:28:20
so 40000 is the sample SD?
sophia
01:34:48
For C, would it be true if we change “in the city” to “in the sample”?
Matthew Simon
01:38:29
Thanks again!
Adam Lucas
01:38:51
hold on!
lucyzhang
01:39:15
Ok! Thx
YeJin Ahn
01:39:16
Thank you professor!!
lucyzhang
01:42:18
Thank you Prof!