MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A rejection of the null hypothesis implies the following:
- a) the null hypothesis is guaranteed false
- b) the null hypothesis may be false
- c)
sample size was very large - d) statistical power was insufficient for the experiment
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- A. Determine the test statistic B. Determine the P-value C.reject or fail to reject H0 D. Determine if the results suggest that all of child booster seats meet the specified requirement.arrow_forwardSuppose that in a random selection of 100 colored candies, 21% of them are blue. The candy company claims that the percentage of blue candies is equal to 20%. Use a 0.10 significance level to test that claim. H, p#0.2 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.)arrow_forward_________ If one concludes that there is NO difference between the sample mean and the population mean, then: a) an alpha error has been committed b) the null hypothesis has been rejected c)there must have been no bias in the sample d) the null hypothesis has been retainedarrow_forward
- 7)arrow_forwardThe number of points held by random samples of the NHL's highest scorers of both the Eastern Conference and the Western Conference is shown. At the 0.05 level of significance, can it be concluded that there is a difference in means based on theses data: Eastern Conference Western Conference 83 60 75 58 77 59 72 58 78 59 70 58 37 57 66 55 62 61 59 61 What is the appropriate null hypothesis for this problem? (u= population mean for this problem) What is the critical Value? What is the test statistics? What is the decision?arrow_forwardA new treatment for a certain disease is claimed to be effective in more than 80 % of cases . To test this claim the treatment was given to 100 randomly selected patients . The treatment was effective in 85 out of the 100 patients . What is the conclusion at a 5 % level of significance ? A. Reject the null hypothesis .There is sufficient evidence to claim that the treatment is effective in more than 80 % of cases B. Reject the null hypothesis .There is not sufficient evidence to claim that the treatment is effective in more than 80 % of cases C. Fail to reject the null hypothesis. There is sufficient evidence to claim that the treatment is effective in more than 80 % of cases D. Fail to reject the null hypothesis. There is not sufficient evidence to claim that the treatment is effective in more than 80 % of casesarrow_forward
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