Use a \(\chi^2\)-test to test the claim \(\sigma \ge 41\) at the \(\alpha = 0.05\) significance level using sample statistics \(s = 39.8\) and \(n = 17\). Assume the population is normally distributed. Click the icon to view the Chi-Square Critical Values Table. Identify the null and alternative hypotheses. A. \(H_0: \sigma \le 41\) \(H_a: \sigma > 41\) C. \(H_0: \sigma > 41\) \(H_a: \sigma \le 41\) B. \(H_0: \sigma \ge 41\) \(H_a: \sigma < 41\) D. \(H_0: \sigma < 41\) \(H_a: \sigma \ge 41\) Identify the standardized test statistic. (Round to three decimal places as needed.)
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Step 1: Null and alternative hypotheses: H_0: \sigma \geq 41 H_a: \sigma < 41 Show more…
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