In an initial drugs test, 5.8% of job applicants tested negative. It is claimed that now the rate is lower. A random sample of 1520 current job applicants ended in 58 negative results. 1. Construct a 95% confidence interval for p, the true proportion of negative results in the population (classical form). 2. Conduct a statistical test of hypothesis on this claim at the 0.01 level of significance, by the following 5 steps. Step 1. Hypotheses and significance level: Ho: Ha: a = Step 2. Test Statistic and its sampling distribution under Ho: Step 3. Observed value of the test statistic: Step 4. P-value under Ho: Step 5. Decision and conclusion (interpretation of the result):

In an initial drugs test, 5.8% of job applicants tested negative. It is claimed that now the rate is lower. A random sample of 1520 current job applicants ended in 58 negative results. 1. Construct a 95% confidence interval for p, the true proportion of negative results in the population (classical form). 2. Conduct a statistical test of hypothesis on this claim at the 0.01 level of significance, by the following 5 steps. Step 1. Hypotheses and significance level: Ho: Ha: a = Step 2. Test Statistic and its sampling distribution under Ho: Step 3. Observed value of the test statistic: Step 4. P-value under Ho: Step 5. Decision and conclusion (interpretation of the result):

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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8- A random sample of the weight of 8 newborn babies at a local hospital is 6.5, 9.2, 8.5, 7.5, 6.7, 7.4, 8.2, and 7.1. Conduct a test of hypothesis to determine if the population mean is 7 pounds. (15%) b. Construct a 95% confidence interval for population standard deviation (6). Test if population variance (o) of the weight of newborns is equal to 0.25. Use a-0.10 and make sure to identify the null and the alternative, the test statistics, critical value(s), and the decision rule. d. What assumptions are needed for the validity of your answers in parts a, b, and c? a. с.
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1. In a study of perception, 110 men are tested and 24 are found to have red/green color blindness (based on data from USA Today). Assume that this was done in a simple random manner. A 95% confidence interval estimate of the proportion of all men with red/green color blindness was found to be 0.14 to 0.30. If we learn that the actual population proportion of men with red/green colorblindness is equal to 0.12, then what can we conclude? A. The confidence interval was wrong. B. We would need to see the sample data to make any conclusions Pick either answer A or B as your answer and show your work to go with it
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Next question If a sample proportion is 0.68, which of the following could be a 90% confidence interval for the population proportion? ..... Select all that apply. A. Lower bound: 0.59; Upper bound: 0.77 B. Lower bound: 0.66; Upper bound: 0.70 OC. Lower bound: 0.50; Upper bound: 0.77 D. Lower bound: 0.77; Upper bound: 0.95 E. Lower bound: 0.67; Upper bound: 0.71 F3 F4 F5 F7 F8 24 4. %23 2 3. 6. Left control option command
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Answer all parts of number 2 and show your work.