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1. We wish to analyze the results from a study which involved the following steps:
A random sample of 500 participants was recruited for the study ? Subjects were allowed to elect to participate in an 3-month exercise program or serve as a control subject (190 chose the program, 310 chose to serve as controls) ? Subjects were monitored for three months, and the primary outcome of interest was whether the subject had at least one cold lasting 4 or more days during the study period In this study outcome of interest is binary, and the predictors/covariates could be continuous (age, total IUs of Vitamin C consumed) and dichotomous (smoking, sex, alcohol use). The most appropriate choice of analysis tool could be:
a. Analysis of Variance
b. Linear regression
c. Logistic regression
e. Generalized Wilcoxon Test
f. Bonferroni adjustment
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
At the .05 level of significance, can we conclude the Middletown students stayed in their districts less time than the Brockton students? Use the five-step hypothesis testing procedure.
Workers at a large toxic clean up project are concerned that their white blood cell counts may have been reduced. Let x be a random variable that represents white blood cell count per cubic millimeter of whole blood in a healthy adult.
Find the P value or an interval containing the P value for the sample test statistic.
A sports researcher gave a standard written test of eating habits to 12 randomly selected professionals, four each from baseball, football, and basketball. The results were as follows:
What are the null and alternative hypotheses in this situation?
What sample size would be needed to obtain an error of +/- 10 square millimeters with 99% confidence?
Construct a 99% confidence interval for the difference between the true average boot times of the two types of hard drives. Assume the difference will represent (HDD-SSD) and that the population standard deviations are statistically the same.
That's a much larger sample than standard sample surveys. In spite of this, we can't trust the result to give good information about any clearly defined population. Why?
Is there a meaningful relationship between grades and SAT scores? If a student scores a 450 on the SAT what will her GPA be?
Richard is one of test takers. Find out the number of questions he can expect to get right on test by random guessing.
Prepare an analysis of your survey. Determine if you have used the appropriate measures to research your business problem, and identify the level of measurement being used for each of your survey questions.
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