Which of the following statements is not true for sampling distributions? (a) A sampling distribution is necessary for making confidence statements about an unknown population parameter. (b) When sampling at random from a normal population, the sampling distribution for the sample average is a normal distribution. (c) A sampling distribution depends on the nature of the population being sampled. (d) None of the above.
Added by Lori B.
Step 1
Step 1: A sampling distribution is necessary for making confidence statements about an unknown population parameter. Show more…
Show all steps
Close
Your feedback will help us improve your experience
Rosina Dapaah and 85 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Which of the following statements is true with respect to the sampling distribution of a proportion? A) The mean of the sampling distribution will equal the population proportion. B) As long as the sample size is sufficiently large, the sampling distribution will be approximately normal. C) An increase in the sample size will result in a reduction in the size of the standard deviation. D) All of the above are true.
Adi S.
Which of the following is true of the sampling distribution of means? a. The sampling distribution of means approximates the normal curve. b. The mean of a sampling distribution of means is equal to the population mean. c. The standard deviation of a sampling distribution of means is smaller than the standard deviation of the population. d. all of the above
Sri K.
Which of the following is a true statement about sampling error? (A) Sampling error can be eliminated only if a survey is both extremely well designed and extremely well conducted. (B) Sampling error reflects natural variation between samples, is always present, and can be described using probability. (C) Sampling error is generally larger when the sample size is larger. (D) Sampling error implies an error, possibly very small, but still an error on the part of the surveyor. (E) Sampling error is higher when bias is present.
Collecting Data
Quiz 10
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD