It seems like I can’t do more advanced data analysis right now. Please try again later. However, you can manually compute the standard deviation of the paired differences using the following steps:

1. Calculate the differences between each pair of scores.
2. Find the mean of these differences.
3. Subtract the mean from each difference and square the result.
4. Sum all the squared results.
5. Divide the sum by the number of pairs minus one (this is for the sample standard deviation).
6. Finally, take the square root of this result to get the standard deviation.

If you'd like, I can guide you through each step in more detail. Would you like assistance on this?

Here are 5 related questions:

1. How is the null hypothesis set up for paired sample t-tests?
2. What does the standard deviation represent in this context?
3. How would you interpret a p-value in this hypothesis test?
4. Why do we assume the differences are normally distributed?
5. What impact does the significance level (α = 0.01) have on the conclusion?

Tip: Always check for normality of the differences when conducting paired sample tests, especially with small sample sizes.