In: Statistics and Probability
Calculate the test statistic F to test the claim that =
. Two samples are randomly selected from populations that are
normal. The sample statistics are given below.
n1 = 25 n2 = 30
= 7.942 = 4.95
From the question, it is not clear as to what is the alternative hypothesis. I assume it is two sided alternative.
We are given that
Null and alternative hypothesis:
Level of significance:
Test statistic:
will follow an F-distribution with
df.
The critical region for a two tailed alternative is
Since, the calculated value of F falls in the region of
rejection, we reject the null hypothesis. Hence, we conclude
that there is enough evidence to claim that the
population variance
is different than the population variance
, at the
.
-----------------------------------------------------------------------------Please replace the following parts in case the alternative is different ------------------------------------------------------------------------------------
In case
then the critical region is
Since, the test statistic doesn't fall in the rejection region,
the null hypothesis is not rejected and hence we conclude that
hat there is not enough evidence to claim that the
population variance
is less than the population variance
, at the
.
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In case
then the critical region is
Since, the calculated value of F falls in the region of
rejection, we reject the null hypothesis. Hence, we conclude
that there is enough evidence to claim that the
population variance
is greater than the population variance
, at the