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A Wendy's franchise has been averaging about $5000 worth of business on a typical Saturday with a standard deviation of σ = $500. The manager is concerned that sales are slipping, after taking into account the average value of sales for four consecutive Saturdays being $4800.
Based on the sample findings, estimate the true mean of Saturday sales with 90% probability.
Evaluate the factor effects. Find out which factors are significant in explaining yield.
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group, (a) Make a bar chart and describe it. (b) Calculate expected frequencies for each class.
A range of values constructed from sample data so that the parameter occurs within that range at a specified probability is:
Estimate a test statistic for null hypothesis H0: μ = 30 against two-sided alternative hypothesis H1 : μ ≠ 30, and by plotting this on its reference distribution.
Determine regression equation. Use assets as independent variables. For fund with $400.0 million in sales, determineut five-year rate of return (in percent).
What kind of statistical test best did you use?
Simulate both one-and two-teller systems, calculate waiting time, average queue length, and percentage utilization for each system.
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
Explain why we need to use the t distribution. What assumption do you need to make?
Find out the test statistic P-value, and critical value, and state the final conclusion. The mean IQ score of statistic professors is less than 120. Sample data: n = 46. Suppose that = 17, and the significance level is = 0.05.
Calculated test statistic, decision about the null hypothesis interpretation of results, and a list of references consulted.
The formula for a 95% confidence interval yields the interval 640 ± 5.88. Find out whether each of the given statements is true or false.
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