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When we test Ho: H=0 against Ha: >0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? a. What would the decision be for a significance level of 0.05? OA. We would decide not to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. OB. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error.

When we test Ho: H=0 against Ha: >0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? a. What would the decision be for a significance level of 0.05? OA. We would decide not to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. OB. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error.

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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When we test Ho: μ = 0 against Ha: μ>0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? a. What would the decision be for a significance level of 0.05? OA. We would decide not to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. B. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. O D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error.
Transcribed Image Text:When we test Ho: μ = 0 against Ha: μ>0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? a. What would the decision be for a significance level of 0.05? OA. We would decide not to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. B. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. O D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error.
K When we test Ho: μ = 0 against Ha: >0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? ... mean is different from 0. OB. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error. D. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type Il error.
Transcribed Image Text:K When we test Ho: μ = 0 against Ha: >0, we get a P-value of 0.03. a. What would the decision be for a significance level of 0.05? Interpret in context. b. If the decision in (a) is in error, what type of error is it? c. Suppose the significance level were instead 0.01. What decision would you make, and if it is in error, what type of error is it? ... mean is different from 0. OB. We would decide not to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. OC. We would decide to reject the null hypothesis. We would have sufficient evidence that the population mean is different from 0. D. We would decide to reject the null hypothesis. We would not have sufficient evidence that the population mean is different from 0. b. If the decision in (a) is in error, what type of error is it? Type II Type I c. What decision would you make, and if it is in error, what type of error is it? OA. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type I error. B. If the significance level were instead 0.01, we would decide to reject the null hypothesis. If this decision were in error, it would be a Type II error. OC. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type I error. D. If the significance level were instead 0.01, we would decide not to reject the null hypothesis. If this decision were in error, it would be a Type Il error.
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