. Suppose we wish to test Ho: μ≤50 versus H1>50. What will result if we conclude that the mean is greater than 50 when its true value is really 52? We have made a Type I error. We have made a Type II error. We have made a correct decision. None of the above is correct.
. Suppose we wish to test Ho: μ≤50 versus H1>50. What will result if we conclude that the mean is greater than 50 when its true value is really 52? We have made a Type I error. We have made a Type II error. We have made a correct decision. None of the above is correct.
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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a. Suppose we wish to test Ho: μ≤50 versus H1>50. What will result if we conclude that the mean is greater than 50 when its true value is really 52?
We have made a Type I error.
We have made a Type II error.
We have made a correct decision.
None of the above is correct.
b. Which of the following best represents a set of numerical data?
mean
proportion
variance
c. The following statements are true EXCEPT:
The central limit theorem applies when n≤30.
The standard deviation of a sampling distribution is called standard error.
When the confidence level is 95%, α=.05
For a two-tailed test, when α=.05, the critical values are ±1.96.
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