Suppose a technician claims that her monthly repairs are less than 50 units, on average. Several of her coworkers do not believe her, so the technician decides to do a hypothesis test, at a 10% significance level, to persuade them. She records data from 16 previous months and works through the testing procedure: H0: μ=50; Ha: μ<50 x¯=41 σ=6 α=0.1 (significance level) The test statistic is z0=x¯−μ0σn√=41−50616√=−6 The critical value is −z0.1=−1.28. Conclude whether to reject or not reject H0, and interpret the results. Select the correct answer below: Reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis. Reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the mean monthly repairs is less than 50 units. Do not reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis. Do not reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the mean smonthly repairs is less than 50 units.
Suppose a technician claims that her monthly repairs are less than 50 units, on average. Several of her coworkers do not believe her, so the technician decides to do a hypothesis test, at a 10% significance level, to persuade them. She records data from 16 previous months and works through the testing procedure: H0: μ=50; Ha: μ<50 x¯=41 σ=6 α=0.1 (significance level) The test statistic is z0=x¯−μ0σn√=41−50616√=−6 The critical value is −z0.1=−1.28. Conclude whether to reject or not reject H0, and interpret the results. Select the correct answer below: Reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis. Reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the mean monthly repairs is less than 50 units. Do not reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis. Do not reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the mean smonthly repairs is less than 50 units.
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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Suppose a technician claims that her monthly repairs are less than 50 units, on average. Several of her coworkers do not believe her, so the technician decides to do a hypothesis test, at a 10% significance level, to persuade them. She records data from 16 previous months and works through the testing procedure:
- H0: μ=50; Ha: μ<50
- x¯=41
- σ=6
- α=0.1 (significance level)
- The test statistic is
z0=x¯−μ0σn√=41−50616√=−6
- The critical value is −z0.1=−1.28.
Conclude whether to reject or not reject H0, and interpret the results.
Select the correct answer below:
- Reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis.
- Reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the
mean monthly repairs is less than 50 units. - Do not reject H0. At the 10% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis.
- Do not reject H0. At the 10% significance level, the data provide sufficient evidence to conclude that the mean smonthly repairs is less than 50 units.
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