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Professor Fair believes extra time does not improve grades on exams. He randomly divided a group of 300 students into two groups and gave them all the same test. One group had exactly 1 hour in which to finish the test, and the other group could stay as long as desired. The results follow. Test at the .01 level of significance that time to do a test and test results are independent.
the motion picture industry is a competitive business. more than 50 studios produce a total of 300 to 400 new motion
Calculate the mean, median, range, and standard deviation for the Body Fat Versus Weight data set. Report your findings, and interpret the meanings of each measurement.
You randomly select 40 can and carefully measure the contents. The sample mean of the cans is 127.9 ounces. Does the machine need to be reset?
At 95% confidence using the critical value approach, determine if the proportion of females in the company is significantly less than 50%.
a) Test whether there is a difference between attitudes in the 2 cities. Use a 95% alpha. b) What does your result say about attitude consistency across cities?
Which regression method would you use and why? What would the output tell you about the relationship between the variables and what would R2 and adjusted R2 tell you about the relationship between the variables?
Determine the 90% confidence interval for average days worked by employees in all payroll departments?
the average length of life of a brand of light bulb is 2000 hours with a population standard deviation of 120. a sample
Looking at the data, you suspect that the manufacturer is incorrect in its label claim. You want to perform hypothesis testing to prove or disprove it.
Industry standards recommend that 9 percent of new vehicles need warranty service in the first year. Determine the probability that none of these vehicles needs warranty service?
1,500 are involved in the work-study program. Write a 150- to 200-word response for each of the five parts in the question. In each of your responses, provide rationale to support your decisions.
The following data shows the packages gathered for delivery for ten days and the proportion of packages received not delivered to the customers at expected time.
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