Null Hypothesis: μ≤0.83
Alternate Hypothesis: μ>0.83
This is clearly a one-tailed test because there is a specified direction of the mean to be tested.
Since we aren't given the population standard deviation, it is recommended to calculate the t-statistic given the smaller sample size:
t = (x̄-µ)/(s/√n) = (0.837-0.83)/(0.025/√20) ≈ 1.25
Next, we determine the degrees of freedom, which is df = n-1 = 20-1 = 19.
If we refer to a t-table, the t-critical value that corresponds to df=19 and α=0.05 is 1.729 when we find their intersection. Because our t-statistic is less than our t-critical (1.25<1.729), it is outside the rejection region, so we fail to reject the null hypothesis at a significance level of α=0.05.
Therefore, it can be concluded that there is sufficient evidence to support the claim that the mean COR exceeds 0.83.
Hope this helped!

AJ L.
05/13/23