I need someone with statistics to help me with Central Limit Theory! :)
I was given this Excel sheet and I need to answer: "Follow the directions on the CLT discovery spreadsheet found in the Course Handouts folder. For your first post, complete the following sentence: "As the sample size increases, the mean tends to __________ and the standard deviation tends to ________.""
@thomaster
@wolfe8
when I delete K1 I go from 4.22 to 4.75 in Mean of the Sample Means When I do it again, i get 4.785 4.775 4.35 4.38 4.4 4.33 4.42
The thing is, it changes everytime I close and open the program lol
@ganeshie8
@timo86m haha i'm tagging everyone please help D:
4.42 is first, 4.61 then 4.235
@Mertsj @precal
Sorry. Not a statistics person.
Do you know anyone who is?:P haha
@Luigi0210
@aaronq
@jim_thompson5910 :DDD please help
in each column A and B, there's the defined formula =INT(10*RAND()) so that means you'll have a random integer from 0 to 10 that's why it changes everytime you open the program
Okay :O So then when I press del in K1, how does the mean changing mean anything?
Because to answer the question of the mean increase or decrease, how could random numbers mean anything?
I'm not sure what you're asking
Okay wait I think I'm getting it lol.
and I think you meant to say "sample size increase"
because that's what it says above
There's multiple pages, Sized 2, 3, 5, 7, and 10 Samples
oh just noticed that
so as n increases, what's going on with the shape of the distribution?
Hmm, it's kinda strange honestly.. There doesn't seem to be any kind of universal answer
This is sized 2 samples
These are new numbers BTW so no longer refer to those posted before :P
Sized 3 samples
yeah it's randomly generated
sized 5
despite this randomness, the sample means will fit a pattern if you have a very large sample size
Right so when N gets large enough, it'll become a regular model
what's another name for "regular"
Bell shaped? Evenly distributed?
Sized 10 samples
what else
Gaussian? :P
standard? Idk there's a lot of names=[
I'm thinking of "normal" or "normal distribution" but yes, there are a lot of ways to describe this distribution
as n increases, this distribution becomes more symmetrical about the mean and becomes more like a normal bell shaped curve
As the sample size increases, the mean tends to __________ and the standard deviation tends to ________.
So as the sample size increases, the mean tends to distribute normally and the standard deviation tends to decrease.
hmm well it depends on the context really in this case, we have a uniform random variable from 0 to 10, so the mean is (0+10)/2 = 5 notice how as n increases, the mean of the sample means is approaching 5 if n was very very large, then the mean would effectively be 5
Well the mean of sized 10 samples is 4.368 and sized 7 is 4.45
4.45 is a bit off from 5, but that's because our sample size is relatively small
But how come it goes down when it hits 10?
well it's going to vary around 5 (both above and below it) it will get closer and closer to 5 as n gets bigger
So: As the sample size increases, the mean tends to __________ and the standard deviation tends to ________.
the mean tends to approach 5 and the standard deviation decreases?
the standard deviation is a bit harder to explain the numbers are drawn from a uniform random distribution (basically any number from 0 to 10 goes and each has an equal chance)
That makes sense but no matter how the numbers change, the standard deviation decreases as n increases
hmm one sec
Oh wait! I finally got one where sized 5 samples was smaller than sized 7
I think I found a formula \[\Large s = \sqrt{\frac{1}{12}(b-a)^2}\] but it doesn't seem to be working though
Haha, that's always great
=STDEV(I4:I103)
yeah that computes the standard deviation from i4 to i103
but I'm looking for a basic general formula that the standard deviation is approaching
>_< Haha
sadly I couldn't find anything, so I'm not sure what to do with that part
should I just say decreases and hope for the best?
it does look like it decreases, but I'm not sure if that's what they want
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