The Department of Motor Safety is conducting a study to determine how many hours each week car and truck drivers drive. In order to assess this, they equipped special trackers in 50 cars and trucks. They received the following information: 1. What is the null and research hypothesis for this study? 2. What type of statistical test should we use to compare means (independent z-test, independent t-test, dependent t-test, or ANOVA)? Why? 3. What are the degrees of freedom? What are the critical values for that statistical test with this data at α = 0.05? α = 0.01? 4. Is the mean difference between truck drivers and car drivers significant at the α = 0.05 level? 5. How would the researcher report this result in a journal? Truck Drivers X̄ = 19.5 s = 4.75 n = 50 Car Drivers X̄ = 17 s = 3.5 n = 50
The Department of Motor Safety is conducting a study to determine how many hours each week car and truck drivers drive. In order to assess this, they equipped special trackers in 50 cars and trucks. They received the following information:
1. What is the null and research hypothesis for this study?
2. What type of statistical test should we use to compare means (independent z-test, independent t-test, dependent t-test, or ANOVA)? Why?
3. What are the degrees of freedom? What are the critical values for that statistical test with this data at α = 0.05? α = 0.01?
4. Is the mean difference between truck drivers and car drivers significant at the α = 0.05 level?
5. How would the researcher report this result in a journal?
Truck Drivers
X̄ = 19.5 s = 4.75 n = 50
Car Drivers
X̄ = 17 s = 3.5 n = 50
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