PRONTO - 15 TF Questions 1. Based on the t statistic, we can reject the null hypothesis that the mean of total time is 25 minutes or less when testing at alpha=.01 [from Data=Pronto 1]. A. True B. False 2 Based on the Kolmogorov-Smirnov D statistics, we would reject (at a=.01) the null hypothesis that the distribution of total times is normal [from Data=Pronto 1]. A. True B. False 3. The probability of rejecting the null hypothesis of a normal distribution increases when extreme outliers are eliminated [from data=Pronto 1]. A. True B. False 4. The number of observations where total time is at least a minute over the 'guaranteed 29' minutes is 30 [from Data=Pronto 1]. A. True B. False 5. On week-ends (Fri_Sat), average wait time is higher at 5:00pm than for other hours of the day. [GLM model from Data=Pronto2]. A True B. False 6. Average 'travel' time is higher at 5:00 pm than the other hours of the day on week-end days ( Fri-Sat) [GLM model from Data=Pronto2] A True B. False 7. Based on SAS output for a General Linear Model (Proc GLM), there is a significant difference (at a=.01) in mean 'wait' time between the five-pm hour and the other hours of the day [GLM model from Data=Pronto2]. A. True B. False In the sample, there are exactly twice as many observations during weekdays as there are for the weekend days (Fri Sat) [GLM model from Data=Pronto2] A. True B. False 9. On average, total time is more than two minutes more for Friday-Saturday than for the other days of the week [Regression Model from Data=Pronto3]. A True B. False 10 On average, total time is more than two minutes more for 5:00pm than for the other hours of the day [Regression Model from Data=Pronto3]. A True B. False 11. Each additional mile adds more than two minutes to total time [Regression Model from Data=Pronto3]. A. True B. False 12. The larger the number of observations, the larger will be the difference between the adjusted R-Square and R-Square [Regression Model from Data=Pronto3]. A True B. False 13 The average amount of variation explained is over 50 times the average amount unexplained [Regression Model from Data=Pronto3] A True B. False 14. All three explanatory variables are significant at a=.05 [Regression Model from Data=Pronto3]. A. True B. False 15. The parameter estimate for 5:00pm is more than four standard errors from its hypothesized value [8=0] [Regression Model from Data=Pronto3] A. True B. FalsePRONTO - SAS OUTPUT TTEST Procedure - From Pronto1 Ho: p 25 mins. Variable: Total N Mean Std Dey Std Err Min Max 240 25.32 3.93 0.2534 16.90 46.00 DF t Value Pr= t 239 1.26 0.1036 Tests for Normality Test Statistic p Value Kolmogorov-Smirnov D 0.11 Pr>D