In this lab we will again use data that we originally looked at in lab one. That data provided three types of weather data for cites that were located on the west coast, in the mid west and on the east coast. In lab one you chose one of the three weather measurements (precipitation, Ave. Jan. temp or Ave. July temp). For lab one I asked you to find descriptive information (means and standard deviations) for each region and to describe how those regions differed. Now, we will use the statistical test of one way ANOVA and post hoc testing to identify if there are differences beyond what would be expected by chance, between geographic regions. In case you do not still have the data from lab one you can find the list of data in the Lab materials folder under the Lab One Data option. While you do not need to analyze the same weather data for lab four you are welcome to stick with the same data so that you can see how your "eye ball" evaluation of differences is the same or different from a statistical evaluation of differences.

1) Define the population from which these three samples have been selected.

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2) Describe the data for each geographical region using the most appropriate descriptive statistics. Use the printout to find these values.

3) Are there significant differences in the weather variable that you chose, across these three regions? Report the F value from the output. Use the F table on the blackboard page to determine if there are significant differences. Make sure to discuss your conclusion and what it means for these regions.

4) Again, using the SPSS printout, what is the specific probability (look for the column that says "sig") of this F value occurring by chance? Evaluate F using this method. What conclusion(s) could you draw?

5) If the F value produces an overall significant effect on the weather variable by region, indicate which group means differ significantly by interpreting the Tukey HSD post hoc results. If you do NOT need to evaluate the group differences using a post hoc test please explain why.

3.spv [Document3] - IBM SPSS Statistics Viewer dit View Data Transform Insert Format Analyze Graphs Utilities Extensions Window jury 6419.277 12, 3209.639 21.007