In: Statistics and Probability
The designer of a 100-point aptitude test wishes test scores to have a standard deviation of 10. He gives the test to 25 randomly selected college students in order to test the null-hypothesis σ²=100 against the alternative hypothesis σ² ≠ 100 at the level α= .02. Suppose he found s²= 70. Perform an appropriate hypothesis test.
Null hypothesis :Ho : =100
Alternate hypothesis : Ha : 100
Given | |
Hypothesized Variance : = 100 | 10 |
Sample Variance: s2 | 70 |
Sample Size : n | 25 |
Level of significance : | 0.02 |
Degrees of Freedom : n-1 | 24 |
For 24 degrees of freedom :
Critical values : For 24 degrees of freedom
For Two tailed test;
Fail to reject null hypothesis if Value of the test statistic is within critical values : and .
As Value of the test statistic is with in the Critical Values i.e.( 10.8564 < 16.8 < 42.9798 )Fail To Reject Null Hypothesis
Not enough evidence to conclude that the variance is not 100 (or
the standard deviation is not 10)