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The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces. We are interested in testing whether the variance of the population is significantly more than .003. The test statistic is

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Answer:

Null hypothesis:
\sigma^2 \leq 0.003

Alternative hypothesis:
\sigma^2 > 0.003

And for this case the statistic is given by:


T= (n-1)(s^2)/(\sigma^2_0)

And replacing we got:


T =(26-1) (0.06^2)/(0.003)= 30

Explanation:

We have the following info given:


n = 26 represent the sample size


s =0.06 represent the sample deviation

We want to test the following hypothesis:

Null hypothesis:
\sigma^2 \leq 0.003

Alternative hypothesis:
\sigma^2 > 0.003

And for this case the statistic is given by:


T= (n-1)(s^2)/(\sigma^2_0)

And replacing we got:


T =(26-1) (0.06^2)/(0.003)= 30

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