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committed by ac ze increases, the p g does not requir confidence interv ncreases the width exist for the popul thesis can be test on in statistical hy e same hypothesis

committed by ac ze increases, the p g does not requir confidence interv ncreases the width exist for the popul thesis can be test on in statistical hy e same hypothesis

MATLAB: An Introduction with Applications
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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Answer all question just True or false without comment .
1. A type II error is committed by accepting the alternative hypothesis when it is true. 2. As the sample size increases, the power of the test is decreases. 3. Hypothesis testing does not require any assumption about the population. 4. In constructing a confidence interval for the mean difference in paired data we see that as the sample size increases the width of the interval also increases. 5. The MPT is not exist for the populations with p.m.fs. 6. All types of hypothesis can be tested by The Neyman-Pearson Theorem. 7. The worst decision in statistical hypothesis is committing type I and type II errors at the same time, on the same hypothesis test. 8. In any hypothesis test, probability of Type I + probability of Type II = 1. 9. The Minimax test is a statistical testing procedure used to test a hypothesis about categorical data.
Transcribed Image Text:1. A type II error is committed by accepting the alternative hypothesis when it is true. 2. As the sample size increases, the power of the test is decreases. 3. Hypothesis testing does not require any assumption about the population. 4. In constructing a confidence interval for the mean difference in paired data we see that as the sample size increases the width of the interval also increases. 5. The MPT is not exist for the populations with p.m.fs. 6. All types of hypothesis can be tested by The Neyman-Pearson Theorem. 7. The worst decision in statistical hypothesis is committing type I and type II errors at the same time, on the same hypothesis test. 8. In any hypothesis test, probability of Type I + probability of Type II = 1. 9. The Minimax test is a statistical testing procedure used to test a hypothesis about categorical data.
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