In which of the following scenarios can we assume that the sampling distribution is approximately normal? I. The population distribution for a mean is approximately normal, but the sample size is 5. II. The population distribution for a mean is not normal, but the sample size is 25. III. The population distribution for a mean is not normal, but the sample size is 50. IV. The sample size for a proportion is large enough that np and n(1-p) are both 15. V. The sample size for a proportion is large enough that np and n(1-p) are both 20. a. III, IV, V b. I, III, IV, V c. I, II, III, V d. I, III, V e. I, II, III, IV, V
In which of the following scenarios can we assume that the sampling distribution is approximately normal? I. The population distribution for a mean is approximately normal, but the sample size is 5. II. The population distribution for a mean is not normal, but the sample size is 25. III. The population distribution for a mean is not normal, but the sample size is 50. IV. The sample size for a proportion is large enough that np and n(1-p) are both 15. V. The sample size for a proportion is large enough that np and n(1-p) are both 20. a. III, IV, V b. I, III, IV, V c. I, II, III, V d. I, III, V e. I, II, III, IV, V
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In which of the following scenarios can we assume that the sampling distribution is approximately normal?
I. The population distribution for a mean is approximately normal, but the
II. The population distribution for a mean is not normal, but the sample size is 25.
III. The population distribution for a mean is not normal, but the sample size is 50.
IV. The sample size for a proportion is large enough that np and n(1-p) are both 15.
V. The sample size for a proportion is large enough that np and n(1-p) are both 20.
a. III, IV, V
b. I, III, IV, V
c. I, II, III, V
d. I, III, V
e. I, II, III, IV, V
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