Write TRUE or FALSE 1. The null hypothesis always indicates an exact hypothesized value of the parameter. 2. If the null hypothesis is true but is rejected, the decision is correct. 3. A type I error is made when the null hypothesis is rejected when it is true. 4. The risk of Type II error does not depend on the risk of Type I error. 5. If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of 100. 6. The probability of committing a type I error is the significance level of the test. 7. Type I error occurs when we convict a person who, in reality, did not commit the crime. 8. Type II error could be acquitting a person who, in reality, committed the crime. 9. The higher the level of significance, the higher the probability of rejecting the null hypothesis when it is true. 10. No two things can be and cannot be at the same time.
Write TRUE or FALSE 1. The null hypothesis always indicates an exact hypothesized value of the parameter. 2. If the null hypothesis is true but is rejected, the decision is correct. 3. A type I error is made when the null hypothesis is rejected when it is true. 4. The risk of Type II error does not depend on the risk of Type I error. 5. If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of 100. 6. The probability of committing a type I error is the significance level of the test. 7. Type I error occurs when we convict a person who, in reality, did not commit the crime. 8. Type II error could be acquitting a person who, in reality, committed the crime. 9. The higher the level of significance, the higher the probability of rejecting the null hypothesis when it is true. 10. No two things can be and cannot be at the same time.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Write TRUE or FALSE
1. The null hypothesis always indicates an exact hypothesized value of the parameter.
2. If the null hypothesis is true but is rejected, the decision is correct.
3. A type I error is made when the null hypothesis is rejected when it is true.
4. The risk of Type II error does not depend on the risk of Type I error.
5. If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of 100.
6. The probability of committing a type I error is the significance level of the test.
7. Type I error occurs when we convict a person who, in reality, did not commit the crime.
8. Type II error could be acquitting a person who, in reality, committed the crime.
9. The higher the level of significance, the higher the probability of rejecting the null hypothesis when it is true.
10. No two things can be and cannot be at the same time.
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