Two possible p-values are given for a test. Which one provides the strongest evidence against H O p-value = 0.200 O p-value = 0.07

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**P-Value Analysis for Hypothesis Testing**

Two possible p-values are given for a test. Which one provides the strongest evidence against the null hypothesis (H₀)?

- ○ p-value = 0.200
- ○ p-value = 0.07

**Explanation:**

In hypothesis testing, the p-value indicates the strength of evidence against the null hypothesis. A smaller p-value suggests stronger evidence to reject the null hypothesis.

- A p-value of 0.200 suggests weaker evidence against H₀.
- A p-value of 0.07 suggests stronger evidence against H₀ than 0.200, but may not be strong enough for traditional significance levels (e.g., 0.05).

**Conclusion:** The p-value of 0.07 provides stronger evidence against the null hypothesis compared to 0.200.

---

This is an educational activity to help understand the concept of p-values and how they influence decisions in statistical hypothesis testing.
Transcribed Image Text:**P-Value Analysis for Hypothesis Testing** Two possible p-values are given for a test. Which one provides the strongest evidence against the null hypothesis (H₀)? - ○ p-value = 0.200 - ○ p-value = 0.07 **Explanation:** In hypothesis testing, the p-value indicates the strength of evidence against the null hypothesis. A smaller p-value suggests stronger evidence to reject the null hypothesis. - A p-value of 0.200 suggests weaker evidence against H₀. - A p-value of 0.07 suggests stronger evidence against H₀ than 0.200, but may not be strong enough for traditional significance levels (e.g., 0.05). **Conclusion:** The p-value of 0.07 provides stronger evidence against the null hypothesis compared to 0.200. --- This is an educational activity to help understand the concept of p-values and how they influence decisions in statistical hypothesis testing.
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