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Suppose that appropriate random sampling has been completed and that all conditions are met. Suppose further that 50 out of 80 men tested preferred the product while 43 out of 80 females preferred it. Compute the test statistic and use technology to find the corresponding p-value based on this test.
What is the chi-square goodness-of-fit test? What are the differences/similarities between this test and an independent t-test? How do you know when to use one analysis over the other? Show an example.
Three coins are tossed simultaneously, consider the event E "Three heads or three tails" F " At least two heads" and G "Atmost two heads " of the pairs (E,F), (E,G) and (F,G), which are independent? Which are dependent?
Test research hypotheses that there is a difference in level of education between liberals and conservatives, set alpha at .01. Would your decision have been different if alpha were set at .05?
In the boom years of the late 1990s, it was often said that rapidly increasing stock prices were responsible for much of the rapid growth of real GDP. Explain how this could be true, using aggregate demand and aggregate supply analysis
where 1 = smooth-yellow, 2 = smooth-green, 3 = wrinkled-yellow, and 4 = wrinkled-green. Can the measures of variation be obtained for these values? Do the results make sense?
Also, 77 percent of managers have MBA degrees. Using probability formulas, determine proportion of employees who either have MBAs or are managers.
The U.S. Department of Transportation defines an airline flight as being "on-time" if it landed less than 15 minutes after the scheduled time shown in the carrier's Computerized Reservation System.
A 'good' correlation is data-context driven. For example, I did a project correlating sales volume per state and customer demographics (pretty 'hard' data) and got a .92 correlation.
Who are also athletes but who are not regularly hit in the heads. Is this an example of an experimental or a non-experimental study? Why?
Estimate with 90% confidence the difference in the level of satisfaction with service between the two branches.
The average delivery time is 26.7 with a standard deviation of 8.527. If the customer estimates the time using a 99% confidence interval, what is the margin of error?
The supplier agrees they will deliver on the day the order is placed. Note that the basic unit of measurement for a period is one year in this case.
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