Test the claim about the differences between two population variances o and o, at the given level of significance a using the given sample statistics. Assume that the sample statistics are from independent samples that are randomly selected and each population has a normal distribution. Claim: o >0, a 0.01 Sample statistics: s= 883, n, =9, s = 384, n, = 13

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Test the claim about the differences between two population variances o and o, at the given level of significance a using the given sample statistics. Assume that the sample statistics are from independent samples that are
randomly selected and each population has a normal distribution.
Claim: o >o3, a=0.01
Sample statistics: s, = 883, n, =9, s, = 384, n, = 13
Find the critical value.
(Round to two decimal places as needed.)
Find the test statistic.
(Round to two decimal places as needed.)
Choose the correct conclusion below.
O A. Reject the null hypothesis. There is enough evidence to reject the claim.
O B. Reject the null hypothesis. There is enough evidence to support the claim.
O C. Fail to reject the null hypothesis. There is not enough evidence to reject the claim.
O D. Fail to reject the null hypothesis. There is not enough evidence to support the claim.
Transcribed Image Text:Test the claim about the differences between two population variances o and o, at the given level of significance a using the given sample statistics. Assume that the sample statistics are from independent samples that are randomly selected and each population has a normal distribution. Claim: o >o3, a=0.01 Sample statistics: s, = 883, n, =9, s, = 384, n, = 13 Find the critical value. (Round to two decimal places as needed.) Find the test statistic. (Round to two decimal places as needed.) Choose the correct conclusion below. O A. Reject the null hypothesis. There is enough evidence to reject the claim. O B. Reject the null hypothesis. There is enough evidence to support the claim. O C. Fail to reject the null hypothesis. There is not enough evidence to reject the claim. O D. Fail to reject the null hypothesis. There is not enough evidence to support the claim.
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