STATISTICAL TECHNIQUES AND TOOLS
SAMPLING DISTRIBUTION
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Which of the following pairs of sample size n and population proportion p would produce the greatest standard deviation for the sampling distribution of a sample proportion p?
|
n = 1, 000 and p close to 0
|
|
n = 1, 000 and p close to 1
|
|
n = 1, 000 and p close to 1/2
|
|
n = 100 and p close to 0
|
|
n = 100 and p close to 1/2
|
Explanation:
Detailed explanation-1: -The sampling distribution of p is approximately normally distributed if N is fairly large and is not close to 0 or 1. A rule of thumb is that the approximation is good if both N and N(1-) are greater than 10.
Detailed explanation-2: -In an SRS of size n, what is true about the sampling distribution of when the sample size n increases? As n increases the sampling distribution of becomes approximately normal.
Detailed explanation-3: -The mean of the distribution of the sample proportions, denoted ^p, equals the population proportion. ^p=p. The standard deviation of the of the sample proportions (called the standard error of the proportion), denoted ^p, is. ^p=√p×(1−p)n.
There is 1 question to complete.