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Choose one time-series describing Spirit Airlines and make a line chart. (b) Describe the trend (if any) and discuss possible causes. (c ) Fit both linear and an exponential trend to the data. (d) Which model is preferred? Why? (e) Make a forecast for 2003, using a trend model of your choice (or judgments forecast).
Year Revenue (mil) Aircraft FT Employees1998 131 14 8601999 227 20 14402000 311 24 17292001 354 27 20942002 403 28 2345
How does a t test differ from a z test in terms of when it is used, how it is calculated, and how we determine significance?
The analysis of variances produces df between = 3 and df within = 24. For this analysis, determine df total ?
What does confidence interval tell you? What does it mean? What 2 things can a researcher do to decrease width of a confidence interval? What are the effects?
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the decision rule.
What is the probability that the graduate selected will be a male who is not a member of a sports team? What is the probability that the graduate will be either a female or a member of a sports team?
Using the six-step critical value approach, at the 0.05 level of significance, is there evidence that the population mean delivery time has been reduced below the previous population mean value of 25 minutes?
Can you give a general rule as to what happens with confidence intervals as a function of sample sizes and confidence levels? What are the trade-offs?
Suppose you take a random sample of 25 from a lot of 1,000 items but later realize that you should have selected a sample of 40 items instead. How do you correct this error?
Given that a respondent is over age 50, what is the probability that he or she gets news primarily from newspapers?
A discussion of the ranges for the objective function coefficients. What do the ranges indicate about how sensitive the recommended solution is to HJ's exposure rating coefficients?
Give an example of two variables that probably have a significant linear correlation coefficient, but one variable does not necessarily cause the other.
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
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