Which of the following statistics provides us with a measure of the variation in the dependent variable explained by the Simple
1 answer:
You might be interested in
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
Suppose the true proportion of high school juniors who skateboard is 0.18.
This means that
Samples of 250 high school juniors are taken
This means that
By how much would their sample proportions typically vary from the true proportion?
This is the standard error, so:
So 0.024 is the answer.