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DSC 10 Discussion - Shared screen with speaker view
Amol Khanna
12:41
Is there going to be a practice final exam? Like we had for the midterm?
Carlos Ricco
15:23
how to identify>
Carlos Ricco
16:07
got it
Amol Khanna
16:52
What if the values on the x axis are decimal places? Would the frequency be still in decimals?
Huy Trinh
17:08
Yes I believe
Carlos Ricco
18:27
population is the data we have, although it's still a sample
Carlos Ricco
21:49
2, 1, 1
Carlos Ricco
23:40
ups, last is 2
Carlos Ricco
24:23
got it
Amol Khanna
31:05
Isn’t this expensive to do?
Huy Trinh
32:10
so bootstrap comes to play?
Huy Trinh
32:15
oh:)
Amol Khanna
43:14
Bootstrap only works when there is a ‘large sample.’ Is there any threshold for the large value?
Carlos Ricco
44:16
good to know.
Carlos Ricco
44:45
Can you zoom inn?
Carlos Ricco
46:16
how to know if it's small or not?
Amol Khanna
46:42
And that will affect the confidence interval? (Smaller sample size will increase the CI)??
Amol Khanna
50:36
So we can consider the sample size to be large when it consistently starts representing the population distribution?
Carlos Ricco
50:57
smooth histogram
Carlos Ricco
51:15
It's always a guess
Carlos Ricco
01:01:54
say again
Huy Trinh
01:02:05
when you rap but not fast enough
Amol Khanna
01:03:05
Is there any test (Like Boostrap or CLT) that helps us find stats like max and min?
Carlos Ricco
01:03:10
when we have symmetric histograms
Amol Khanna
01:03:54
bootstrap*
Huy Trinh
01:05:10
can you calculate a variance that can add to a certainty for the max like max + that #?
Carlos Ricco
01:10:58
tou should use Grammarly :D
Sachin Dwarakanath
01:11:08
lol
Carlos Ricco
01:11:26
don't think so
Amol Khanna
01:15:50
Can we draw any conclusion from the overlapping of CI’s obtained from bootstrap and CLT? (Took 2 mins to type boostrap)
Huy Trinh
01:23:25
when do you use random.choice and when should we use random.multinomial?
Carlos Ricco
01:26:52
to get their proportions we should divide by the number of the number of picks
Huy Trinh
01:27:06
Thank you
Huy Trinh
01:44:02
when do we use total variation distance?
Sachin Dwarakanath
01:44:10
Thanks!
Sammer Alomair
01:44:12
You said it is designed to take less than 3 hours, but approximately how long?
Huy Trinh
01:45:05
when do we use total variation distance?
Huy Trinh
01:49:34
Thank you
Amol Khanna
01:50:15
Thank you for this discussion. It was much needed!
Sammer Alomair
01:50:28
Yeah I’m typing it one sec
Sammer Alomair
01:50:53
How come we didn’t do regression? Is it less important? Less questions?
Sammer Alomair
01:51:26
No I was just curious, thanks
Huy Trinh
01:51:39
Have a nice day