Let us say that you do a study of four different airlines and look at the on-time performance of 7 randomly selected flights. The dependent variable is the number of minutes that a flight is late (so a negative number means the flight is early, and a zero value means the flight was on-time). Here are the (hypothetical) data:

1. Use SPSS to produce an appropriate graph that shows the mean performance of each airline. You can copy and paste the output into a Word doc to submit.
2. Using SPSS, determine whether there is a significant difference in on-time performance (alpha = .05). What is your conclusion: is there one airline that can be considered significantly better than the other three? Be sure to include the ANOVA summary table.
3. Using SPSS, conduct a Tukey as a Post Hoc test. Include the results. What is your conclusion: is there one airline that can be considered significantly better than the other three?

1. Imagine that you conducted a survey of some students in the Distance Degree Programs and examined whether their overall impression of the program was positive or negative. You want to know whether their opinion is related to whether they are juniors or seniors. Analyze the data below with chi-square (it is okay to use a stat program for this). Show your results and describe what conclusion they support. Do these data fulfill all the requirements for use of chi-square? Explain.

   Group:	Positive Impression	Negative Impression
   Juniors	3	4
   Seniors	5	8

2. A political consultant conducts a survey of registered voters in your district to see how affluent the district is. The consultant finds the following number of voters at each of these income levels:

Test the null hypothesis that there are actually equal numbers of voters at each income level. What do you conclude? What are the assumptions of the test you used?

Price: $15.04

Solution: The downloadable solution consists of 8 pages, 704 words and 3 charts.
Deliverable: Word Document