ate whether the standardized test statistic z indicates that you should reject the null hypothesis. (a) z= 1.207 (b) z = - 1.323 (c) z= - 1.387 (d) z= - 1.195

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### Hypothesis Testing with Z-Statistics

In hypothesis testing, the standardized test statistic \( z \) is used to determine whether to reject the null hypothesis. Here, we are given several \( z \) values to evaluate under the standard normal distribution curve.

#### Given Values:
- (a) \( z = 1.207 \)
- (b) \( z = -1.323 \)
- (c) \( z = -1.387 \)
- (d) \( z = 1.195 \)

#### Chart Explanation:
The chart displays a standard normal distribution curve, showing areas under the curve which correspond to rejection and non-rejection regions for the null hypothesis. The critical \( z \)-value is marked at \( z_0 = -1.285 \), indicating the threshold beyond which we reject the null hypothesis.

#### Question Analysis:

(a) **For \( z = 1.207 \), should you reject or fail to reject the null hypothesis?**
- **Options:**
  - A. Reject \( H_0 \) because \( z > -1.285 \).
  - B. Reject \( H_0 \) because \( z < -1.285 \).
  - C. Fail to reject \( H_0 \) because \( z < -1.285 \).
  - D. Fail to reject \( H_0 \) because \( z > -1.285 \).

(b) **For \( z = -1.323 \), should you reject or fail to reject the null hypothesis?**
- **Options:**
  - A. Fail to reject \( H_0 \) because \( z > -1.285 \).
  - B. Fail to reject \( H_0 \) because \( z < -1.285 \).
  - C. Reject \( H_0 \) because \( z < -1.285 \).
  - D. Reject \( H_0 \) because \( z > -1.285 \).

To decide whether to reject or fail to reject \( H_0 \), compare the given \( z \)-values to the critical value \( z_0 = -1.285 \). If the value of \( z \) falls in the rejection region, the null hypothesis is rejected; otherwise, it is not.
Transcribed Image Text:### Hypothesis Testing with Z-Statistics In hypothesis testing, the standardized test statistic \( z \) is used to determine whether to reject the null hypothesis. Here, we are given several \( z \) values to evaluate under the standard normal distribution curve. #### Given Values: - (a) \( z = 1.207 \) - (b) \( z = -1.323 \) - (c) \( z = -1.387 \) - (d) \( z = 1.195 \) #### Chart Explanation: The chart displays a standard normal distribution curve, showing areas under the curve which correspond to rejection and non-rejection regions for the null hypothesis. The critical \( z \)-value is marked at \( z_0 = -1.285 \), indicating the threshold beyond which we reject the null hypothesis. #### Question Analysis: (a) **For \( z = 1.207 \), should you reject or fail to reject the null hypothesis?** - **Options:** - A. Reject \( H_0 \) because \( z > -1.285 \). - B. Reject \( H_0 \) because \( z < -1.285 \). - C. Fail to reject \( H_0 \) because \( z < -1.285 \). - D. Fail to reject \( H_0 \) because \( z > -1.285 \). (b) **For \( z = -1.323 \), should you reject or fail to reject the null hypothesis?** - **Options:** - A. Fail to reject \( H_0 \) because \( z > -1.285 \). - B. Fail to reject \( H_0 \) because \( z < -1.285 \). - C. Reject \( H_0 \) because \( z < -1.285 \). - D. Reject \( H_0 \) because \( z > -1.285 \). To decide whether to reject or fail to reject \( H_0 \), compare the given \( z \)-values to the critical value \( z_0 = -1.285 \). If the value of \( z \) falls in the rejection region, the null hypothesis is rejected; otherwise, it is not.
### Hypothesis Testing with Z-Scores

Consider the following scenarios for hypothesis testing:

#### (c) For \( z = -1.387 \), should you reject or fail to reject the null hypothesis?
- **Option A**: Fail to reject \( H_0 \) because \( z > -1.285 \).
- **Option B**: Fail to reject \( H_0 \) because \( z < -1.285 \).
- **Option C**: Reject \( H_0 \) because \( z > -1.285 \).
- **Option D**: Reject \( H_0 \) because \( z < -1.285 \).

#### (d) For \( z = -1.195 \), should you reject or fail to reject the null hypothesis?
- **Option A**: Reject \( H_0 \) because \( z > -1.285 \).
- **Option B**: Fail to reject \( H_0 \) because \( z > -1.285 \).
- **Option C**: Fail to reject \( H_0 \) because \( z < -1.285 \).
- **Option D**: Reject \( H_0 \) because \( z < -1.285 \).

### Explanation

In hypothesis testing, we often compare the calculated z-score to a critical value to decide whether to reject the null hypothesis. The choice of rejection depends on whether the calculated z-value is more extreme than the critical value set for the test. If the z-value is more extreme (either more positive or more negative), the null hypothesis \( H_0 \) is rejected. Otherwise, we fail to reject it.
Transcribed Image Text:### Hypothesis Testing with Z-Scores Consider the following scenarios for hypothesis testing: #### (c) For \( z = -1.387 \), should you reject or fail to reject the null hypothesis? - **Option A**: Fail to reject \( H_0 \) because \( z > -1.285 \). - **Option B**: Fail to reject \( H_0 \) because \( z < -1.285 \). - **Option C**: Reject \( H_0 \) because \( z > -1.285 \). - **Option D**: Reject \( H_0 \) because \( z < -1.285 \). #### (d) For \( z = -1.195 \), should you reject or fail to reject the null hypothesis? - **Option A**: Reject \( H_0 \) because \( z > -1.285 \). - **Option B**: Fail to reject \( H_0 \) because \( z > -1.285 \). - **Option C**: Fail to reject \( H_0 \) because \( z < -1.285 \). - **Option D**: Reject \( H_0 \) because \( z < -1.285 \). ### Explanation In hypothesis testing, we often compare the calculated z-score to a critical value to decide whether to reject the null hypothesis. The choice of rejection depends on whether the calculated z-value is more extreme than the critical value set for the test. If the z-value is more extreme (either more positive or more negative), the null hypothesis \( H_0 \) is rejected. Otherwise, we fail to reject it.
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