Do men take a different amount of time than women to get out of bed in the morning? The 45 men observed averaged 6.1 minutes to get out of bed after the alarm rang. Their standard deviation was 5.6. The 42 women observed averaged 6 minutes, and their standard deviation was 4 minutes. What can be concluded at the a = 0.01 level of significance? Assuming Equal Variances a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer v (please enter a decimal) H1: Select an answer decimal) Select an answer Select an answer | (Please enter a c. The test statistic ? d. The test statistics (please show your answer to 3 decimal places.)

Do men take a different amount of time than women to get out of bed in the morning? The 45 men observed averaged 6.1 minutes to get out of bed after the alarm rang. Their standard deviation was 5.6. The 42 women observed averaged 6 minutes, and their standard deviation was 4 minutes. What can be concluded at the a = 0.01 level of significance? Assuming Equal Variances a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer v (please enter a decimal) H1: Select an answer decimal) Select an answer Select an answer | (Please enter a c. The test statistic ? d. The test statistics (please show your answer to 3 decimal places.)

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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In a test of the effectiveness of garlic for lowering cholesterol, 36 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.7 and a standard deviation of 2.03. Use a 0.01 significance level to test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment? Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.
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Do shoppers at the mall spend the same amount of money on average the day after Thanksgiving compared to the day after Christmas? The 56 randomly surveyed shoppers on the day after Thanksgiving spent an average of $145. Their standard deviation was $46. The 43 randomly surveyed shoppers on the day after Christmas spent an average of $123. Their standard deviation was $43. What can be concluded at the a = 0.05 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer Select an answer v H: Select an answer v Select an answer v Select an answer v b. The test statistic ? v = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ? v a e. Based on this, we should Select an answer v the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically significant at a = 0.05, so there is…
Need help finding tcalc.
Which of the following statements is correct? Select one: a. If there is less variability within the levels of the independent variable, it is easier to detect differences between the levels of the IV. b. It is okay to run multiple t-tests on the same dependent variable without doing a correction. c. Smaller p-values indicate there is no effect. d. It isn't necessary to report means and standard deviations of your variables.
9% of US employees who are late for work blame Oversleeping. You randomly select 4 US employees who are late and ask if they blame oversleeping. The random variable represents the number of US employees who are late and blame over sleeping. the mean ? the variance? the standard deviation? The avg # of adults that blame over sleeping would differ from the mean no more than ?
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