The central limit theorem implies that for samples of size one or two,we can infer that the sampling distribution of the sample mean is approximately normal.
Correct Answer:
Verified
Q1: In stratified random sampling,a population is divided
Q3: The standard error of the mean is
Q10: In stratified random sampling,a population is divided
Q11: If a population is not normally distributed,the
Q12: A sampling distribution of the means is
Q13: In cluster sampling,a population is divided into
Q14: When using systematic random sampling,the sampling error
Q14: We can expect some difference between sample
Q15: For a simple random sample,each item in
Q17: When cluster sampling is used,the central limit
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents