In: Statistics and Probability
A test of sobriety involves measuring the subject's motor skills. A sample of 31 randomly selected sober subjects take the test and produce a mean score of 64.4 with a standard deviation of 2. A claim is made that the true mean score for all sober subjects is equal to 65. For each part below, enter only a numeric value in the answer box. For example, do not type "z =" or "t =" before your answers. Round each of your answers to 3 places after the decimal point.
(a) Calculate the value of the test statistic used in this test. Test statistic's value =
(b) Use your calculator to find the P-value of this test. P-value =
(c) Use your calculator to find the critical value(s) used to test this claim at the 0.2 significance level. If there are two critical values, then list them both with a comma between them. Critical value(s) =
We have given Sample size = 31
Sample mean xbar = 64.4
Sample standard deviation s= 2
Here population standard deviation is not known 30 so we will use one sample t test.
The hypotheses are
H0: μ= 65
Ha: μ ≠ 65
This is two-sided test.
Test statistics value (t) = (xbar – μ) / (s/√n) = (64.4 - 65)/(2/sqrt(31)) = -1.670
Test statistics value (t) = -1.670
P value = 0.1053
Decision: Reject H0 because the P- value is less than the significant level 0.2 so reject null hypothesis at 0.2 level of significant.
Using critical value approach, |t| = 1.67 > 1.31 so reject null hypothesis.
Conclusion: At 2% level of significance, there is sufficient evidence to conclude the claim that true mean score for all sober subject is different from 65.