In: Statistics and Probability
A random sample of non-English majors at a selected college was used in a study to see if the student retained more from reading a 19th-century novel or by watching it in DVD form. Each student was assigned one novel to read and a different one to watch, and then they were given a 100-point written quiz on each novel. The test results are shown. Book 90 80 90 75 80 90 84 DVD 95 82 80 80 70 85 90 Use a 0.05 significance level to test the claim that the students score higher after watching the DVD.
1.Find the P-value.
2.Based on the P-value found , state your conclusion about the null hypothesis.
3.Based on your conclusion, state the conclusion about the claim.
4.Construct the 90% confidence interval to estimate the mean differences of the scores.
5.Based on the confidence interval, state the conclusion about the means.
Sample | Book | DVD | diff(d)=sample1-sample2 | (d-dbar)^2 |
1 | 90 | 95 | 5 | 36 |
2 | 80 | 82 | 2 | 9 |
3 | 90 | 80 | -10 | 81 |
4 | 75 | 80 | 5 | 36 |
5 | 80 | 70 | -10 | 81 |
6 | 90 | 85 | -5 | 16 |
7 | 84 | 90 | 6 | 49 |
SUM | -7 | 308 |
t-Test: Paired Two Sample for Means | ||
Book | DVD | |
Mean | 84.14286 | 83.14286 |
Variance | 36.80952 | 64.14286 |
Observations | 7 | 7 |
Pearson Correlation | 0.51058 | |
Hypothesized Mean Difference | 0 | |
df | 6 | |
t Stat | 0.369274 | |
P(T<=t) one-tail | 0.362302 | |
t Critical one-tail | 1.439756 | |
P(T<=t) two-tail | 0.724605 | |
t Critical two-tail | 1.94318 |
Mean(d)=dbar=sum(d)/n -1
standard deviation(sd)=sqrt(sum(d-dbar)^2/n-1)
7.16472842
n 7
test statistics=(dbar/(Sd/sqrt(n)) = -0.3693
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1)
P-value
p-value=2*p(t>|test statistics|) =
here df=n-1=6 using excel
2*p(t>|test statistics|) = 2*(1-T.DIST(0.3693,6,1)) =0.7245
P-value=0.7245
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2.Based on the P-value found , state your conclusion about the null hypothesis.
P-value=0.7245 > 0.05 we do not reject H0
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3
.Based on your conclusion, state the conclusion about the claim.
we do not reject H0 hence
There is no difference in reading a 19th-century novel or by watching it in DVD form
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4.Construct the 90% confidence interval to estimate the mean differences of the scores.
for 90 % confidence level with degree of freedom
(n-1)=6
\alpha=1-c%=1-0.90=0.1 0.1
degrees of freedom (n-1) 6
t=critical value at 90 % with (n-1) degree of freedom
1.94318
Margin of error =t*s/sqrt(n) =5.2622
Lower limit =dbar-ME = -1 - 5.2622 = -6.2622
Upper limit =dbar+ME = -1 + 5.2622 = 4.2622
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5.Based on the confidence interval, state the conclusion about the means.
If we take100 samples each of size 7 and calculate 90% confidence interval,.then about 90 out 100 confidence interval,will contain true difference.
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