## Question 301:

1## Answer:

No answer provided yet.For the t-score, you need to provide the sample size. The t-score is like a modified z-score but uses the degrees of freedom (in this case 1 less than the sample size). A t-score with a very large sample size (say above 1000) will have almost identical z and t-scores.

The advantage of the t-score is that it can be used with smaller sample sizes which are commonplace. In fact, the t-score, which gets its name from the student t-distribution was developed by William Gosset at Guinness Breweries for the reason that he needed to make inferences about the normal curve, but has smaller sample sizes.