A test statistic is a parameter used during a hypothesis
test to determine whether to accept or reject the null hypothesis. There are 2
test statistics, the z-score and t-score. The main difference is that the
t-score is used when sample size is not greater than 30. Therefore we will use
the t-score in this case.
The formula for t-score is:
t-score = (x – μ<span>) / (s / sqrt n) -----> equation 1</span>
Where,
x = sample mean = 10.1
μ =
population mean = 9.7
s = sample
standard deviation = 1.8
<span> n = sample size = 30</span>
Substituting
the given values in equation 1:
t-score =
(10.1 – 9.7) / (1.8 / sqrt(30))
t-score = 1.22
<span>Answer: The test statistic is 1.22.</span>