In order to determine whether or not a driver's education course
improves the scores on a driving exam, a sample of 6 drivers were
given the exam before and after taking the course. The results are
shown below. Assume the population of differences is normally
distributed.
Let d = Score After - Score Before.
Driver |
Score |
Score |
1 |
83 |
87 |
2 |
89 |
88 |
3 |
93 |
91 |
4 |
77 |
77 |
5 |
86 |
93 |
6 |
79 |
83 |
Complete the following table (round numbers to two decimal places):
After |
Before |
|
Mean |
||
Variance |
||
t-Stat (test statistic) |
||
p-value (one tail) |
||
t critical value (one tail) |
Using α = 0.05, test to see if taking the course actually increased scores on the driving exam. What do you conclude?
Solution-:
Let, x=Score driver before the course and y= score driver after thecourse
d=score after-score before
Here the situation is suitable for paired t- test
Average difference in score
Hypothesis: We want to test, Vs (Two tailed test)
Given data:
x | y |
83 | 87 |
89 | 88 |
93 | 91 |
77 | 77 |
86 | 93 |
79 | 83 |
By using MS-Excel :
t-Test: Paired Two Sample for Means | ||
x | y | |
Mean | 84.5000 | 86.5000 |
Variance | 36.7000 | 33.5000 |
Observations | 6.0000 | 6.0000 |
Pearson Correlation | 0.8242 | |
Hypothesized Mean Difference | 0.0000 | |
df | 5.0000 | |
t Stat | -1.3912 | |
P(T<=t) one-tail | 0.1114 | |
t Critical one-tail | 2.0150 | |
P(T<=t) two-tail | 0.2229 | |
t Critical two-tail | 2.5706 |
Here, t-stat,
P-value (One tailed)
, Critical value (One tailed)
Decision : Here, t-stat < Critical value (One tailed) hence, we accept .
Conclusion: We conclude that taking the course actually same (equal) scores on the driving exam.
OR
By using R-software:
> x=c( 83,89,93,77,86,79);x
[1] 83 89 93 77 86 79
> y=c(87,88,91,77,93,83);y
[1] 87 88 91 77 93 83
> t.test(y,x, paired=T)
Paired t-test
data: y and x
t = 1.3912, df = 5, p-value = 0.2229
alternative hypothesis: true difference in means is not equal to
0
95 percent confidence interval:
-1.695444 5.695444
sample estimates:
mean of the differences
2
Decision : Here, P-value =0.2229> l.o.s. =0.05 hence we accept .
Conclusion: We conclude that taking the course actually same (equal) scores on the driving exam.
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