In: Statistics and Probability
To test H0: mean = 20 vs H1: mean < 20 a simple random sample of size n = 18 is obtained from a population that Is known to be normally distributed
(a) If x-hat = 18.3 and s = 4.3, compute the test statistic
(b) Draw a t-distribution with the area that represents the P-value shaded
(c) Approximate and interpret the P-value
(d) If the researcher decides to test this hypothesis at the a = 0.05 level of significance, will the researcher reject the null hypothesis? Why?
Solution:
Part a
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 20
Xbar = 18.3
S = 4.3
n = 18
t = (18.3 – 20)/[4.3/sqrt(18)]
t = -1.6773
Test statistic = -1.6773
Part b
The P-value by using t-curve is shown below:
Part c
We have
n = 18
df = n- 1 = 17
t = -1.6773
Test is lower tailed test.
So, P-value by using t-table is given as below:
P-value = 0.0559
This is the maximum significance level at which we reject the null hypothesis.
Part d
P-value > α = 0.05, so we do not reject the null hypothesis.
Researcher does not reject the null hypothesis because P-value is greater than given level of significance.