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 
.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
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