In: Statistics and Probability
Experience RoadType Correction Time
Beginner Paved 4
Beginner Paved 18
Beginner Paved 8
Beginner Paved 10
Beginner Gravel 23
Beginner Gravel 15
Beginner Gravel 21
Beginner Gravel 13
Beginner Dirt 16
Beginner Dirt 27
Beginner Dirt 23
Beginner Dirt 14
Advanced Paved 6
Advanced Paved 4
Advanced Paved 13
Advanced Paved 7
Advanced Gravel 2
Advanced Gravel 6
Advanced Gravel 8
Advanced Gravel 12
Advanced Dirt 20
Advanced Dirt 15
Advanced Dirt 8
Advanced Dirt 17
1. [MiniTab] The file RoadConditions.MTW contains data on the time it takes drivers to make steering corrections based on the drivers’ experience level (advanced or beginner) and the road type (paved, gravel, or dirt). Use this data to answer the following questions.
A) Test the hypothesis that the average time it takes drivers to make steering corrections is different based on the road type being driven on. Report your hypotheses, test statistic, and p-value.
B) What would be your conclusion if you tested this hypothesis at α = 0.05?
C) What would be your conclusion if you tested this hypothesis at α = 0.01?
One-way ANOVA: correction time versus Road
Method
Null hypothesis
All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Road 3 Dirt,
Gravel, Paved
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Road 2 308.3
154.17 4.25
0.028
Error 21 761.5 36.26
Total 23 1069.8
Ha : not ()
TS = F = 4.25 , p-value = 0.028
b)
if p-value < alpha , we reject the null hypothesis , otherwise we fail to reject the null hypothesis
here p-value = 0.028 < 0.05
hence we reject the null hypothesis
we conclude that there is difference between different type of roads
c)
p-value > 0.01
then we will fail to reject the null hypothesis
we conclude that there is not difference in different type of road