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Eagle Outfitters is a chain of stores specializing in outdoor apparel and camping gear. It is considering a promotion that involves mailing discount coupons to all its credit card customers. This promotion will be considered a success if more than 10% of those receiving the coupons use them. Before going national with the promotion, coupons were sent to asample of 100 credit card customers.
a. Develop hypotheses that can be used to test whether the population proportion of those who will use the coupons is sufficient to go national.
b. Use a = 0.05 to conduct your hypothesis test. Should Eagle go national with the promotion?
Normal adult Mean Temperature is 98.2 and standard deviant is 0.62 with normal distribution. If 16 people are randomly selected determine the probability that their mean body temp is below 98.5 degrees.
Choose one of these tests and describe in your own words, the purpose of the test, any particular assumptions or limitations pertaining to the test, and provide an example where you could employ the test.
Explain the ANOVA output table values:
Would you conclude that your data set is approximately normal? If so, what percentage of your data values lie:
In, addition, the company has decided to purchase at least three of the new Econo-Tankers for use on short-run, low-demand routes. As a final constraint, the conpany deos not want more than half the new models to be Super Tankers.
Use the t test to determine whether the slope of the regression model is significant at α = 0.05.
Expireall Corporation is in finishing business. The following data took place during September: The standard cost card indicates that 2.0 feet are used in the production of each unit. The standard cost of each material is $4.50 per foot.
Determine what analysis would you do on each problem (i.e., one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
Construct a 90 percent confidence interval for the true mean weight. Describe factors which might cause variation in the weight of Tootsie Rolls during manufacture.
State the hypotheses for a chi-squared test in the context of this problem. Calculate the expected matrix and describe what it represents. Calculate the test statistic. Describe what this represents and answer the question posed.
Change the frequencies to percentages - is there a group more likely to get high salaries.
Assuming a linear cost relationship, what are the regression coefficients, b0 and b1?
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