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The ticket booth on the Tech campus is operated by one person, who is selling tickets for the annual Tech v/s State football game on Saturday. The ticket seller can serve an average of 12 customers per hour; on average, 10 customers arrive to purchase tickets each hour. Determine the average time a ticket buyer must wait and the portion of time the ticket seller is busy.
How should she proceed? What additional data (if any) is needed? Which statistical analysis technique should be used? Can an analysis be performed? Why or why not?
What hypothesis testing procedure would you use in the following situations? Explain your reasons, including assumptions and limitations for selecting the procedure.
The only difference is that the first group is comprised of athletic persons and the second of non-athletic ones.
Using any present or past job related data, perform an ANOVA in either Excel or MegaStat. Write your null and alternate hypothesis. Post your ANOVA table. Interpret the results.
There are four auto body shops in a community and all claim to promptly serve customers. To check if there is any difference in service customers are randomly selected from each repair shop and their waiting times in days are recorded.
What is the null hypothesis? Use α =0.05. Compute critical value. Use α =0.05.
The unlikelihood of everyone who plays the lottery choosing a correct 6 would be very large indeed. Is this unethical advertising? Is it misleading? is the lottery in general, unethical? Why or why not?
To find out whether the course is effective in increasing sales, the appropriate set of hypothesis for testing is:
Using the .05 significance level, can we conclude that there is a positive association between the two variables?
Find the sample mean and find the sample standard deviation - construct a confidence interval for the true population mean for body temperatures of healthy adults.
Construct a 95 percent confidence interval for the population proportion of positive drug tests. May you assume that this is a normal distribution? Explain why.
A random sample of 36 drinks from a soft drink machine has an average content 7.6 ounces with an standard deviation of 0.48 ounces. Test the hypothesis ounces against the alternative hypothesis at the 0.05 level of significance.
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