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Use the given contingency table to (a) find the expected frequencies of each cell in the table, (b) perform a chi-square test for independence, and (c) comment on the relationship between the two variables. Assume the variables are independent.
The contingency table shows the results of a random sample of 500 individuals classified by gender and type of vehicle owned. Use alpha = 0.01.
Gender
Type of vehicle owned Male Female
Car 90 110
Truck 100 75
SUV 50 65
Van 7 3
He argues that regression effect says people who do very poorly in their previous job tend to perform well in their next job. Is this what the regression effects? Describe in detail.
How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
There are 20 qualified applicants for 5 trainee positions in a fast-food management program. How many different groups of trainees can be selected?
The cheetahs' coach believes that the Rockets' times are normally distributed as well. Construct a 95% confidence interval the Coach to compare the two teams' sprint units.
Nationwide, the average waiting time until electric utility customer service representative answers a call is 300 seconds per call. The Gigantic Kilowatt Energy Company took a sample of 35 calls and found that, on the average
What is the standard error of measurement for the test? What range of scores would you expect an individual who made 54 on the test to make on another test of similar difficulty? Assume you want to be 68% accurate in your estimate.
What score was earned by more students than any other score? Why? What was the highest score earned on the exam?
Suppose that a random sample of 800 early replacement buyers yields a mean number of dealers visited of 1 = 3.3, and that a random sample of 500 late replacement buyers yields a mean number of dealers visited of 2= 4.5.
Why is it misleading to draw the conclusion from the test above that long-time exposure to cadmium reduces the vital capacity?
The heights of 18 year old men are approximately normally distributed with mean 68 inches and a SD of 3 inches.
For each of the following, identify the scale of measurement (NOIR) and the best measure of central tendency for the data.
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
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