The method table shows the following:
· Null hypothesis-For
the test of equal variances, the null hypothesis is always that the variances
(and the standard deviations) are all equal.
· Alternative hypothesis-For
the test of equal variances, the alternative hypothesis is always that
at least one variance is different from one other variance.
· Significance level-The
significance level (also called alpha or a)
for the tests and the multiple comparison intervals is determined by the
confidence level. The significance level = 1 -
(confidence level / 100). For example, if you choose 95 as the confidence
level, then the significance level is 1 -
(95 / 100) = 0.05.
Example Output |

|
Method
Null hypothesis All variances are equal
Alternative hypothesis At least one variance is different
Significance level α = 0.05 |
Interpretation |

|
The significance level for the driving date analysis is 0.05. If the
p-value is less than 0.05, we reject the null hypothesis and conclude
that the variances are not equal.