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) / (s / sqrt n) -----> equation 1
Where,
x = sample mean = 10.1
μ = population mean = 9.7
s = sample standard deviation = 1.8
n = sample size = 30
Substituting the given values in equation 1:
t-score = (10.1 – 9.7) / (1.8 / sqrt(30))
t-score = 1.22
Answer: The test statistic is 1.22.