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. Construct a 95% confidence interval for p, the true proportion of negative results in the population (classical form). Conduct a statistical test of hypothesis on this claim at the 0.01 level of significance, by the same 5 steps . Step 1. Hypotheses and significance level: H0: Ha: a = Step 2. Test Statistic and its sampling distribution under H0: Step 3. Observed value of the test statistic: Step 4. P-value under H0: 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. Construct a 95% confidence interval for p, the true proportion of negative results in the population (classical form). Conduct a statistical test of hypothesis on this claim at the 0.01 level of significance, by the same 5 steps . Step 1. Hypotheses and significance level: H0: Ha: a = Step 2. Test Statistic and its sampling distribution under H0: Step 3. Observed value of the test statistic: Step 4. P-value under H0: 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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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.
- Construct a 95% confidence interval for p, the true proportion of negative results in the population (classical form).
- Conduct a statistical test of hypothesis on this claim at the 0.01 level of significance, by the same 5 steps .
Step 1. Hypotheses and significance level:
H0: Ha: a =
Step 2. Test Statistic and its sampling distribution under H0:
Step 3. Observed value of the test statistic:
Step 4. P-value under H0:
Step 5. Decision and conclusion (interpretation of the result):
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