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use a \\(\\chi^2\\)-test to test the claim \\(\\sigma^2 = 0.55\\) at th…

Question

use a \\(\chi^2\\)-test to test the claim \\(\sigma^2 = 0.55\\) at the \\(\alpha = 0.10\\) significance level using sample statistics \\(s^2 = 0.526\\) and \\(n = 18\\). assume the population is normally distributed.

\\(\text{h}_a: \sigma^2 \
eq 0.55\\) \\(\text{h}_a: \sigma^2 < 0.55\\)
\\(\text{o c. } \text{h}_0: \sigma^2 \leq 0.55\\) \\(\text{o d. } \text{h}_0: \sigma^2 \
eq 0.55\\)
\\(\text{h}_a: \sigma^2 > 0.55\\) \\(\text{h}_a: \sigma^2 = 0.55\\)

identify the standardized test statistic.
16.26 (round to two decimal places as needed.)

identify the critical value(s).
8.67,27.59
(round to two decimal places as needed. use a comma to separate answers as needed.)

choose the correct conclusion below.
\\(\text{o a. }\\) fail to reject \\(\text{h}_0\\). there is enough evidence at the 10% level of significance to reject the claim.
\\(\text{o b. }\\) fail to reject \\(\text{h}_0\\). there is not enough evidence at the 10% level of significance to reject the claim.
\\(\text{o c. }\\) reject \\(\text{h}_0\\). there is not enough evidence at the 10% level of significance to reject the claim.
\\(\text{o d. }\\) reject \\(\text{h}_0\\). there is enough evidence at the 10% level of significance to reject the claim.

Explanation:

Step1: Recall Hypothesis Testing Rules

The null hypothesis \( H_0 \) contains the claim being tested (equality), and the alternative hypothesis \( H_a \) is the complement. Here, the claim is \( \sigma^2 = 0.55 \), so \( H_0: \sigma^2 = 0.55 \) and \( H_a: \sigma^2
eq 0.55 \) (two - tailed test, though the options here seem to have some formatting issues, but for the conclusion part:

Step2: Compare Test Statistic and Critical Values

The test statistic is \( \chi^2 = 16.26 \), and the critical values are \( 8.67 \) and \( 27.59 \). We check if the test statistic lies between the critical values. Since \( 8.67<16.26<27.59 \), we fail to reject \( H_0 \). Failing to reject \( H_0 \) means there is not enough evidence at the \( \alpha = 0.10 \) level to reject the claim (which is in \( H_0 \)).

Answer:

B. Fail to reject \( H_0 \). There is not enough evidence at the 10% level of significance to reject the claim.