Brandon conducted a wide-ranging survey of 435 college students that captured information for several items, including--(but not limited to)--living and commuting arrangements, extracurricular activities, and past test performance so that he can better understand his university's students. The following questions will use variables from Brandon's survey to evaluate different research questions.

Background: Within his data, Brandon has information for the typical time it took students to observe 35-meter sprint (in seconds)--Sprint--as well as information for student smoking status--Smoking--(0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker).

Brandon believes that students that do not smoke will have faster sprint times than those students who are current smokers.

Analysis to Complete in SPSS:

Conduct a one-way ANOVA to test if there is a statistically significant difference in sprint time with respect to smoking status. Conduct Tukey post hoc analysis to test if there is a statistically significant difference in sprint time with respect to smoking status if the main effect of Smoking is significant. Variables of Interest: Sprint Smoking Sprint will serve as the dependent variable, while Smoking will act as Brandon's independent variable.

Quiz Questions:

Questions 1-9

Special SPSS Notes:

Use the steps outlined in Green and Salkind Lesson 25: One-Way Analysis of Variance to conduct your ANOVA analysis which utilizes `Analyze > General Linear Models > Univariate...`. The mean average information needed to answer Questions 1-9 should be provided in your ANOVA output. If you do not see this information, be sure the box in `Options... > Display > Descriptive statistics` is checked and re-run your ANOVA analysis.

1. How many participants in Brandon's data have Smoking Status information? - 358 - 261 - 350 - 353
2. What is the average 35-meter sprint time for all participants with Smoker Status information in Brandon's data? - 6.57 seconds - 6.83 seconds - 6.41 seconds - 7.16 seconds
3. What is the average 35-meter sprint time for all participants with smoker status equal to Nonsmoker in Brandon's data? Group of answer choices - 6.57 seconds - 7.12 seconds - 6.41 seconds - 6.84 seconds
4. What is the average 35-meter sprint time for all participants with smoker status equal to Past Smoker in Brandon's data? - 6.75 seconds - 6.95 seconds - Not enough info - 6.84 seconds
5. What is the average 35-meter sprint time for all participants with smoker status equal to Current Smoker in Brandon's data? - 6.41 seconds - 7.12 seconds - 6.57 seconds - 6.84 seconds
6. Was Brandon's One-Way ANOVA model significant? Note: Be sure to report p value at appropriate level. - Yes, it was significant at p < .05 - Not enough information is available to answer - Yes, it was significant at p < .01 - No, it was nonsignificant at p > .05
7. Can equal population variances be assumed for Smoking Status main effect in Brandon's One-Way ANOVA model? - Not enough information is available to answer - Yes, Levene's Homogeneity of Variances was nonsignificant, p > .05 - Yes, Levene's Homogeneity of Variances was significant, p < .05
8. Which smoking group had the fastest average 35-meter sprint time? - Respondents who identified as past smoker - Respondents who identified as nonsmoker - Not enough information is available to answer - Respondents who identified as current smoker
9. Within smoking, which pair of groups had a significant difference in their sprint times? - Nonsmoker and Past Smoker - Nonsmoker and Current Smoker - Not enough information is available to answer - Past Smoker and Current Smoker