Suppose that the test statistic is 2.63 and the boundary to the critical region is 1.96. The test statistic is the critical region. Therefore, the graduate student ▼ reject the null hypothesis, and he conclude that the level of contrast between eye color and skin tone affects how feminine a face is considered. You may use the Distributions tool if you find it helpful. Standard Normal Distribution Mean = 0.0 Standard Deviation = 1.0 .5000 .2500 .2500 -3 -2 -1 1 3 -0.674 0.674

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The first blank is "the test statistic is (not in or in) the critical region" 

"The graduate student (can or cannot).."

"and he (can or cannot).."

**Hypothesis Testing in Research**

A graduate student believes that people consider faces with more contrast between eye color and skin tone as more feminine. He identifies the null and alternative hypotheses as:

- **H₀**: The level of contrast between eye color and skin tone does *not* affect how feminine a face is considered.
- **H₁**: The level of contrast between eye color and skin tone *affects* how feminine a face is considered.

He chooses a significance level of 0.05. After collecting data and computing the sample statistics, it is time for him to make a decision about H₀.

### Possible Decisions

Check the two potential decisions that the graduate student can make given his choices of H₀ and H₁. *Check all that apply.*

- [ ] There is not enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered.
- [✔] There is not enough evidence to reject the hypothesis that the contrast between eye color and skin tone does *not* affect how feminine a face is considered.
- [ ] There is enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered.
- [✔] There is enough evidence to reject the hypothesis that the contrast between eye color and skin tone does *not* affect how feminine a face is considered.

### Decision Based on Critical Region

What decision should the graduate student make if the test statistic is in the critical region?

- [ ] The graduate student should reject the alternative hypothesis.
- [ ] The graduate student cannot reject the null hypothesis.
- [✔] The graduate student should reject the null hypothesis.
Transcribed Image Text:**Hypothesis Testing in Research** A graduate student believes that people consider faces with more contrast between eye color and skin tone as more feminine. He identifies the null and alternative hypotheses as: - **H₀**: The level of contrast between eye color and skin tone does *not* affect how feminine a face is considered. - **H₁**: The level of contrast between eye color and skin tone *affects* how feminine a face is considered. He chooses a significance level of 0.05. After collecting data and computing the sample statistics, it is time for him to make a decision about H₀. ### Possible Decisions Check the two potential decisions that the graduate student can make given his choices of H₀ and H₁. *Check all that apply.* - [ ] There is not enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered. - [✔] There is not enough evidence to reject the hypothesis that the contrast between eye color and skin tone does *not* affect how feminine a face is considered. - [ ] There is enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered. - [✔] There is enough evidence to reject the hypothesis that the contrast between eye color and skin tone does *not* affect how feminine a face is considered. ### Decision Based on Critical Region What decision should the graduate student make if the test statistic is in the critical region? - [ ] The graduate student should reject the alternative hypothesis. - [ ] The graduate student cannot reject the null hypothesis. - [✔] The graduate student should reject the null hypothesis.
### Statistical Hypothesis Testing and Critical Regions

Suppose that the test statistic is 2.63, and the boundary to the critical region is 1.96. The test statistic is **within** the critical region. Therefore, the graduate student **should** reject the null hypothesis, and he **can** conclude that the level of contrast between eye color and skin tone affects how feminine a face is considered.

You may use the Distributions tool if you find it helpful.

### Explanation of the Graph

#### Standard Normal Distribution

- **Mean = 0.0**
- **Standard Deviation = 1.0**

The graph illustrates a standard normal distribution curve:

- The curve is symmetric around the mean (0).
- The orange and blue shaded areas represent different sections of the distribution based on standard deviation.

**Key Points in the Graph:**

- The graph is divided into three main sections:
  - The central section (blue) between -0.674 and 0.674 represents 50% of the data.
  - The outer sections (orange), beyond -0.674 and 0.674, each represent 25% of the data.
- Critical values are marked, indicating regions where the null hypothesis might be rejected.
- The test statistic falls outside the central region, suggesting it lies within the critical section (beyond 1.96).
Transcribed Image Text:### Statistical Hypothesis Testing and Critical Regions Suppose that the test statistic is 2.63, and the boundary to the critical region is 1.96. The test statistic is **within** the critical region. Therefore, the graduate student **should** reject the null hypothesis, and he **can** conclude that the level of contrast between eye color and skin tone affects how feminine a face is considered. You may use the Distributions tool if you find it helpful. ### Explanation of the Graph #### Standard Normal Distribution - **Mean = 0.0** - **Standard Deviation = 1.0** The graph illustrates a standard normal distribution curve: - The curve is symmetric around the mean (0). - The orange and blue shaded areas represent different sections of the distribution based on standard deviation. **Key Points in the Graph:** - The graph is divided into three main sections: - The central section (blue) between -0.674 and 0.674 represents 50% of the data. - The outer sections (orange), beyond -0.674 and 0.674, each represent 25% of the data. - Critical values are marked, indicating regions where the null hypothesis might be rejected. - The test statistic falls outside the central region, suggesting it lies within the critical section (beyond 1.96).
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