Briefly answer the following questions. (a) What is a null hypothesis Ho? O A specific hypothesis where the claim is that the population parameter is equal to 0. O A specific hypothesis where the claim is that the population parameter does not equal 0. O A working hypothesis making a claim about the population parameter in question. O Any hypothesis that differs from the original claim being made. (b) What is an alternate hypothesis H,? O A specific hypothesis where the claim is that the population parameter does not equal 0. O Any hypothesis that differs from the original claim being made. O A specific hypothesis where the claim is that the population parameter is equal to 0. O A working hypothesis making a claim about the population parameter in question. (c) What is a type I error? O Type I error is rejecting the null hypothesis when it is false. Type I error is failing to reject the null hypothesis when it is false. O Type I error is rejecting the null hypothesis when it is true. O Type I error is failing to reject the null hypothesis when it is true. What is a type II error? O Type II error is rejecting the null hypothesis when it is false. O Type II error is failing to reject the null hypothesis when it is false. O Type II error is rejecting the null hypothesis when it is true. O Type II error is failing to reject the null hypothesis when it is true. (d) What is the level of significance of a test? O The probability of a type II error. O The probability of a type I error. What is the probability of a type II error? O a O 1- a
Briefly answer the following questions. (a) What is a null hypothesis Ho? O A specific hypothesis where the claim is that the population parameter is equal to 0. O A specific hypothesis where the claim is that the population parameter does not equal 0. O A working hypothesis making a claim about the population parameter in question. O Any hypothesis that differs from the original claim being made. (b) What is an alternate hypothesis H,? O A specific hypothesis where the claim is that the population parameter does not equal 0. O Any hypothesis that differs from the original claim being made. O A specific hypothesis where the claim is that the population parameter is equal to 0. O A working hypothesis making a claim about the population parameter in question. (c) What is a type I error? O Type I error is rejecting the null hypothesis when it is false. Type I error is failing to reject the null hypothesis when it is false. O Type I error is rejecting the null hypothesis when it is true. O Type I error is failing to reject the null hypothesis when it is true. What is a type II error? O Type II error is rejecting the null hypothesis when it is false. O Type II error is failing to reject the null hypothesis when it is false. O Type II error is rejecting the null hypothesis when it is true. O Type II error is failing to reject the null hypothesis when it is true. (d) What is the level of significance of a test? O The probability of a type II error. O The probability of a type I error. What is the probability of a type II error? O a O 1- a
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Transcribed Image Text:Briefly answer the following questions.
(a) What is a null hypothesis Ho?
O A specific hypothesis where the claim is that the population parameter is equal to 0.
O A specific hypothesis where the claim is that the population parameter does not equal 0.
O A working hypothesis making a claim about the population parameter in question.
O Any hypothesis that differs from the original claim being made.
(b) What is an alternate hypothesis H,?
O A specific hypothesis where the claim is that the population parameter does not equal 0.
O Any hypothesis that differs from the original claim being made.
O A specific hypothesis where the claim is that the population parameter is equal to 0.
O A working hypothesis making a claim about the population parameter in question.
(c) What is a type I error?
O Type I error is rejecting the null hypothesis when it is false.
Type I error is failing to reject the null hypothesis when it is false.
O Type I error is rejecting the null hypothesis when it is true.
O Type I error is failing to reject the null hypothesis when it is true.
What is a type II error?
O Type II error is rejecting the null hypothesis when it is false.
O Type II error is failing to reject the null hypothesis when it is false.
O Type II error is rejecting the null hypothesis when it is true.
O Type II error is failing to reject the null hypothesis when it is true.
(d) What is the level of significance of a test?
O The probability of a type II error.
O The probability of a type I error.
What is the probability of a type II error?
O a
O 1- a
O 1- B
OB
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