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A researcher is studying the effects of smoking on overall health by taking a random sample of 500 people between the ages of 25-60. The researcher defines the IV variable "Level of Smoking" into three categories: Non-smoker; Light Smoker; and Heavy Smoker. The researcher defines the DV variable "Overall Health" into three categories: Excellent, Fair, and Poor. The IV is compared to the DV in a cross-tab. Which measure of association would the researcher use to compare the relationship between the IV and DV? Why?
(A) What sums are needed to calculate a correlation coefficient? (B) What are the two ways of testing a correlation coefficient for significance?
A researcher selects a random example of college students and measures number of hours they spend watching television per week and their grade point average.
What is the probability that none are a commercial success?
A random sample of 100 students at Southern University was collected. The mean age was found to be 24.2 years, with a standard deviation of 3.4 years.
Find the critical F value for the Following,
A bank official reported the results of a regression analysis designed to predict the bank's charges (y), measured in dollars per month, for services rendered to local companies.
Finding the value of test statistic utilizing two-tail 't' test also interpret the result. The Commercial Bank as well as Trust Company is studying the use of its automatic teller machines.
Determine the Midrange. Determine the Standard Variance. Determine the Standard Deviation
In the Distance problems, the kids are given a Rate (speed) that a vehicle is going, as well as a Time that the vehicle travels, and asked to calculate the Distance travelled. In the Rate problems they are asked to compute Rate from the other two ..
Collapse the response categories in the following tables so that it meets the assumptions of the chi-square test; than perform the test.
Based on this survey, what conclusions can you reach about the use of the Internet at work.
A company is interested in estimating μ, mean number of days of sick leave taken by its employees. The firm's statistician randomly selects 100 personnel files and notes the number of sick days taken by each employee.
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