Question
Asked Jul 5, 2019
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Use a χ2​-test to test the claim σ2=0.49 at the α=0.10 significance level using sample statistics s2=0.465 and n=15.

Assume the population is normally distributed.

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Expert Answer

Step 1

In order to test the hypothesis of H0: sigma square  is equal to 0.49  versus Ha: sigma square not equal to 0.49 using a  10% level of significance with a random sample from a normal population shows that the sample size n is equal to 15 and standard deviation is equal to 0.682.

We define the test hypothesis as:

Null hypothesis as: H0: sigma square is equal to 0.49

Against the alternative hypothesis as;

Ha: sigma square not equal to 0.49

In order to test this hypothesis we used chi square test statistics as follows:

Step 2

In order to test this hypothesis we used chi square test statistics as follows:

Test Statistics:

The chi- square hypothesis test is defined as;

Null hypothesis:

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Null hypothesis: Ho a 0.49 Altemative hypothe sis as: Ha 0.49 The test statistics is defined as: # S (n-) 0.682 (15-1) 0.7 2 = 13.2857 Now the decision criteria for chi square test statistics is: Reject the null hypothesis that the variance is a specified value, o, if 2 > x 1H- for two tailed altemative hypothesis obrerved observed Therefore the observed chi square test statistics is =13.2857 < % 0.95,14 o05 14=6.571< gbserved 23.685

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Step 3

P value for this test is deter...

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P -value 0.5042 > a 0.10

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