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)