Question

In order to determine whether or not a driver's education course improves the scores on a...

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
Before the Course

Score
After the Course

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?

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Answer #1

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

\mu_{d}: Average difference in score

Hypothesis: We want to test, HOM=0 Vs  H:Hd 70 (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=13912, P-value (One tailed) =0.1114 , Critical value (One tailed) = 2.0150

= 0,05

Decision : Here, t-stat=13912 < Critical value (One tailed) = 2.0150 hence, we accept H_{0} .

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 H_{0} .

Conclusion: We conclude that taking the course actually same (equal) scores on the driving exam.

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