Random samples that are drawn independently from two normally distributed populations yielded the following statistics. Group 1 Group 2 =n114 =n220 =x1252.5 =x2216 =s21357.21 =s22174.24 (The first row gives the sample sizes, the second row gives the sample means, and the third row gives the sample variances.) Can we conclude, at the  0.05  significance level, that the population variance,  σ21 , for group 1 is greater than the population variance,  σ22 , for group 2?   Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. The null hypothesis: H0:   The alternative hypothesis: H1:   The type of test statistic: (Choose one) Z t Chi square F             The value of the test statistic: (Round to at least three decimal places.)   The critical value at the  0.05  level of significance: (Round to at least three decimal places.)   Can we conclude that the population variance for group 1 is greater than the population variance for group 2?   Yes     No

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Random samples that are drawn independently from two normally distributed populations yielded the following statistics.
Group 1 Group 2
=n114
=n220
=x1252.5
=x2216
=s21357.21
=s22174.24
(The first row gives the sample sizes, the second row gives the sample means, and the third row gives the sample variances.)

Can we conclude, at the 

0.05
 significance level, that the population variance, 
σ21
, for group 1 is greater than the population variance, 
σ22
, for group 2?

 

Perform a one-tailed test. Then fill in the table below.

Carry your intermediate computations to at least three decimal places and round your answers as specified in the table.

The null hypothesis:
H0:
 
The alternative hypothesis:
H1:
 
The type of test statistic: (Choose one) Z t Chi square F      
     
The value of the test statistic:
(Round to at least three decimal places.)
 
The critical value at the 
0.05
 level of significance:
(Round to at least three decimal places.)
 
Can we conclude that the population variance for group 1 is greater than the population variance for group 2?
 
Yes
 
 
No
 
 
 
 
 
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