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What are the most common reasons you would select a non-parametric test over the parametric alternative? Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why? For each of the following parametric tests, identify the appropriate non-parametric counterpart: Dependent t test Independent samples t test Repeated measures ANOVA (one-variable) One-way ANOVA (independent) Pearson Correlation
Ms Moline is the budget director for Nexus Media Inc. She is comparing travel costs for sales and the audit staff. She collected the following sample data:
Same survey showed that average length of time each store was in business in 6 years, with standard deviation of 2.5 years. Which is more variable, number of magazines or number of years?
Todd is less interested in testing a hypothesis than he is in developing an estimate for what people would be willing to pay. He would like 95% confidence intervals for the average price people would be willing to pay
How much money would a Western household have to spend on groceries per year in order to be at the 99th percentile?
Design a Linear programming problem for the flair Furniture Company and find the combination of tables and chairs that the company must produce to maximize profits.
The average weight of 40 randomly selected minivans was 4150 pounds. The standard deviation was 480 pounds. Find the 99% confidence interval of the true weight of the minivans.
A survey for Hotels asked respondents "When traveling internationally, do you generally venture out on your own to experience culture, or stick with your tour group and itineraries?" The survey found that 23% of the respondents stick with their t..
The hypothesis that the samples came from identical populations cannot be rejected, the T value is 16.5 greater that the lower limit.
Compute a chi-square test for goodness of fit for each of the following, using the .05 level for each. In each problem, the expected distribution is equal frequencies in each category.
An insurance company is trying to determine if there is a significant difference in the average number of sick days that registered nurses and nurse practitioners use per year. The data analysis provided the following output.
Use a graphical technique to compare the ages, household incomes, and education of the five groups of car buyers. (Do not use Box plots or Stem-and-Leaf Display).
In part b, the sample have greater variability than part a, but the sample sizes are unchanged. how does the larger variability affect the size of the standard error for the sample mean?
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