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As an aid in the establishment of personnel requirements, the director of a hospital wishes to estimate the mean number of people who are admitted to the emergency room during a 24-hour period. The director randomly selects 49 different 24-hour periods and determines the number of admissions for each. For this sample, x = 18.4 and we know that the population variance is 16. Estimate the mean number of admissions per 24-hour period with a 95% confidence interval.
Given that this sample is extremely large, can the responses be considered to be representative of the population of the United States? Explain.
What is the difference between a point estimate and an interval estimate? How would you calculate a confidence interval with a z test?
A company requires its secretarial employees to demonstrate his/her ability to type more than 45 words per minute in a typing test.
Find out correlation coefficient r, If student take 35 minutes to complete exam, what is his predicted score.
(a) What is the relative frequency (i.e., proportion) of observations falling in the 0.260-0.280 interval? (Give your answer to four decimal places.) (b) What is the shape of the data distribution?
Provide the factorial notation for the following experimental design. Two independent variables:
Ace Machine Works estimates that the probability its lathe tool is properly adjusted is 0.8. When the lathe is properly adjusted, there is a 0.9 probability that the parts produced pass inspection.
Large university health system, 55 of 120 randomly selected physicians were women. Find the critical values to two decimal places if alpha=0.05.
To test whether there is significant mean difference between two groups using independent sample t test.
The 99% confidence interval estimate for a population variance when a sample standard deviation of 12 is obtained from a sample of 10 items is:
Describe the purpose of the link function of a GLM. What is the identity link? Explain why it is not often used with binomial and Poisson responses.
At α =0.05, can it be concluded that families who live in cities have higher income than those who live in rural areas? Utilize P-value method.
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