The spreadsheet titled "Test Scores" shows the reading and writing scores a sample of 12 students earned on a standardized test. Assuming normal distributions and using an alpha level of .05, conduct the appropriate test to see if there is a significant difference between the population mean for the reading scores and the population mean for the writing scores.
Student | Reading Score | Writing Score |
1 | 448 | 308 |
2 | 598 | 593 |
3 | 527 | 430 |
4 | 582 | 448 |
5 | 589 | 393 |
6 | 316 | 615 |
7 | 624 | 472 |
8 | 569 | 438 |
9 | 360 | 381 |
10 | 564 | 307 |
11 | 508 | 338 |
12 | 625 | 443 |
Let us denote
d : reading score - writing score
To test against
Here
sample mean of difference
sample standard deviation
and sample size
The test statistic can be written as
which under H0 follows a t distribution with n-1 df.
We reject H0 at 5% level of significance if P-value < 0.05
Now,
The value of the test statistic =
and P-value =
Since P-value < 0.05, so we reject H0 at 5% level of significance and we can conclude that there is a significant difference between the population mean for the reading scores and the population mean for the writing scores.
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