Consider the hypothesis statement to the right. State your conclusion given thats=6.6, n=29, andα=0.05. |
H0: σ2=33.0 H1: σ2≠33.0 |
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Calculate the appropriate test statistic.
The test statistic is
nothing.
(Round to two decimal places as needed.)
It shall be noted that a chi-square test can be used to test if the variance of a population is equal to a specified value.
The chi-square hypothesis test is defined as:
H0:σ2=33.0
H1:σ2≠33.0
The information provided is:
s=6.6
n=29
α=0.05
The degree of freedom = n-1 = 28
The test-statistic is:
T=(n−1)(s/σ0)^2
=(29-1)*(6.6/33)^2
=1.12
The critical chi-square at a 5% level of significance (two-tailed) and at 28 degrees of freedom is 41.34
Since the actual chi-square is 1.12 less than the critical chi-square of 41.34 at a 5% level of significance, the null hypothesis is rejected.
Thus, the variance is statistically significantly different from 33
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