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He gets a "reject" result on his hypothesis test. What conclusion should he draw? o There is enough evidence to believe that red meat causes cancer. o There is enough evidence to believe that red meat does not cause cancer. o There is not enough evidence to believe that red meat causes cancer. O There is not enough evidence to believe that red meat does not cause cancer,

He gets a "reject" result on his hypothesis test. What conclusion should he draw? o There is enough evidence to believe that red meat causes cancer. o There is enough evidence to believe that red meat does not cause cancer. o There is not enough evidence to believe that red meat causes cancer. O There is not enough evidence to believe that red meat does not cause cancer,

Phlebotomy Essentials
Phlebotomy Essentials
6th Edition
ISBN:9781451194524
Author:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Publisher:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Chapter1: Phlebotomy: Past And Present And The Healthcare Setting
Section: Chapter Questions
Problem 1SRQ
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**Hypothesis Testing Framework** --- A nutritionist is conducting a hypothesis test regarding the relationship between red meat consumption and cancer. The hypotheses are defined as follows: - **Null Hypothesis (H₀):** Red meat does not cause cancer. - **Alternative Hypothesis (Hₐ):** Red meat does cause cancer. The nutritionist achieves a "reject" result in the hypothesis test. Based on this result, consider the following possible conclusions: 1. There is enough evidence to believe that red meat causes cancer. 2. There is enough evidence to believe that red meat does not cause cancer. 3. There is not enough evidence to believe that red meat causes cancer. 4. There is not enough evidence to believe that red meat does not cause cancer. A "reject" result indicates that there is sufficient evidence to reject the null hypothesis (H₀) in favor of the alternative hypothesis (Hₐ). Therefore, the conclusion should be: - **There is enough evidence to believe that red meat causes cancer.** This outcome demonstrates how hypothesis testing is used to evaluate statistical evidence in research.
Transcribed Image Text:**Hypothesis Testing Framework** --- A nutritionist is conducting a hypothesis test regarding the relationship between red meat consumption and cancer. The hypotheses are defined as follows: - **Null Hypothesis (H₀):** Red meat does not cause cancer. - **Alternative Hypothesis (Hₐ):** Red meat does cause cancer. The nutritionist achieves a "reject" result in the hypothesis test. Based on this result, consider the following possible conclusions: 1. There is enough evidence to believe that red meat causes cancer. 2. There is enough evidence to believe that red meat does not cause cancer. 3. There is not enough evidence to believe that red meat causes cancer. 4. There is not enough evidence to believe that red meat does not cause cancer. A "reject" result indicates that there is sufficient evidence to reject the null hypothesis (H₀) in favor of the alternative hypothesis (Hₐ). Therefore, the conclusion should be: - **There is enough evidence to believe that red meat causes cancer.** This outcome demonstrates how hypothesis testing is used to evaluate statistical evidence in research.
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