Answer:
The answer is A I suppose
Answer:
494235234934-1304039445
Step-by-step explanation:
4r567890e-r0987ytdghcn
Answer:
A
Step-by-step explanation:
Answer:
0.024
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean
and standard deviation ![s = \sqrt{\frac{p(1-p)}{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%7D)
Suppose the true proportion of high school juniors who skateboard is 0.18.
This means that ![p = 0.18](https://tex.z-dn.net/?f=p%20%3D%200.18)
Samples of 250 high school juniors are taken
This means that ![n = 250](https://tex.z-dn.net/?f=n%20%3D%20250)
By how much would their sample proportions typically vary from the true proportion?
This is the standard error, so:
![s = \sqrt{\frac{p(1-p)}{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%7D)
![s = \sqrt{\frac{0.18*0.82}{250}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B0.18%2A0.82%7D%7B250%7D%7D)
![s = 0.024](https://tex.z-dn.net/?f=s%20%3D%200.024)
So 0.024 is the answer.