Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.05 level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Hại Hyers-Briggs preference and profession are not independent H Myers-Brigge preference and profession are independent. OHo Myers-Briggs preference and profession are independent Ha: Myers-Briggs preference and profession are not independent. Hai Myers-Brigge preference and profession are independent Hi: Myers-Briggs preference and profession are independent. O Hoi Myers-Briggs preference and profession are not independent Hy: Myers-Briggs preference and profession are not independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three dedimal places Are all the expected frequencies greater than 5 Yes ONo

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### Using the Chi-Square Test to Determine Independence

**Objective:**  
Evaluate if the listed occupations and personality preferences are independent at the 0.05 level of significance.

#### Step 1: Understanding the Level of Significance
- **What is the level of significance?**
  - The level of significance is 0.05.

#### Step 2: Hypothesis Formulation
- **State the null and alternative hypotheses:**
  - \( H_0 \): Myers-Briggs preference and profession are not independent.
  - \( H_1 \): Myers-Briggs preference and profession are independent.
  - \( H_2 \): Myers-Briggs preference and profession are not independent.
  - \( H_3 \): Myers-Briggs preference and profession are independent.
  - \( H_4 \): Myers-Briggs preference and profession are not independent.
  - \( H_5 \): Myers-Briggs preference and profession are independent.
  - \( H_6 \): Myers-Briggs preference and profession are not independent.
  - \( H_7 \): Myers-Briggs preference and profession are independent.
  - \( H_8 \): Myers-Briggs preference and profession are not independent.
  
#### Step 3: Calculate the Chi-Square Statistic
- **Find the value of the chi-square statistic for the sample:**
  - Round the expected frequencies and the chi-square statistic to at least three decimal places.

#### Step 4: Assessing Frequencies
- **Are all the expected frequencies greater than 5?**
  - Possible answers: Yes / No

#### Step 5: Sampling Distribution
- **What sampling distribution will you use?**

---

#### Explanation of Provided Data Table

**Table of Occupation vs. Personality Type:**

| Occupation | Personality Type | Row Total |
|------------|------------------|-----------|
| Clergy (all denominations) | 66 | 41 | 107 |
| M.D. | 69 | 93 | 162 |
| Lawyer | 61 | 76 | 137 |
| **Column Total** | 196 | 210 | 406 |

The table displays the distribution of different personality types across three professions: Clergy, M.D., and Lawyer. The totals for each row and column are calculated to help in determining the expected frequencies for the chi-square test.

#### Graphs and Diagrams
There are no graphs or diagrams in the provided image,
Transcribed Image Text:### Using the Chi-Square Test to Determine Independence **Objective:** Evaluate if the listed occupations and personality preferences are independent at the 0.05 level of significance. #### Step 1: Understanding the Level of Significance - **What is the level of significance?** - The level of significance is 0.05. #### Step 2: Hypothesis Formulation - **State the null and alternative hypotheses:** - \( H_0 \): Myers-Briggs preference and profession are not independent. - \( H_1 \): Myers-Briggs preference and profession are independent. - \( H_2 \): Myers-Briggs preference and profession are not independent. - \( H_3 \): Myers-Briggs preference and profession are independent. - \( H_4 \): Myers-Briggs preference and profession are not independent. - \( H_5 \): Myers-Briggs preference and profession are independent. - \( H_6 \): Myers-Briggs preference and profession are not independent. - \( H_7 \): Myers-Briggs preference and profession are independent. - \( H_8 \): Myers-Briggs preference and profession are not independent. #### Step 3: Calculate the Chi-Square Statistic - **Find the value of the chi-square statistic for the sample:** - Round the expected frequencies and the chi-square statistic to at least three decimal places. #### Step 4: Assessing Frequencies - **Are all the expected frequencies greater than 5?** - Possible answers: Yes / No #### Step 5: Sampling Distribution - **What sampling distribution will you use?** --- #### Explanation of Provided Data Table **Table of Occupation vs. Personality Type:** | Occupation | Personality Type | Row Total | |------------|------------------|-----------| | Clergy (all denominations) | 66 | 41 | 107 | | M.D. | 69 | 93 | 162 | | Lawyer | 61 | 76 | 137 | | **Column Total** | 196 | 210 | 406 | The table displays the distribution of different personality types across three professions: Clergy, M.D., and Lawyer. The totals for each row and column are calculated to help in determining the expected frequencies for the chi-square test. #### Graphs and Diagrams There are no graphs or diagrams in the provided image,
Here is a transcription of the text from the image suitable for an educational website:

---

**Statistical Analysis Exercise**

**Question 1: Expected Frequencies**
Are all the expected frequencies greater than 5?
- Yes
- No

**Question 2: Sampling Distribution Selection**
What sampling distribution will you use?
- chi-square
- binomial
- uniform
- normal
- Student’s t

**Question 3: Degrees of Freedom**
What are the degrees of freedom?

**Question 4: P-value Calculation**
(c) Find or estimate the P-value of the sample test statistic.
- P-value > 0.100
- 0.050 < P-value < 0.100
- 0.025 < P-value < 0.050
- 0.010 < P-value < 0.025
- 0.005 < P-value < 0.010
- P-value < 0.005

**Question 5: Hypothesis Testing**
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence?
- Since the P-value > α, we fail to reject the null hypothesis.
- Since the P-value ≤ α, we reject the null hypothesis.
- Since the P-value ≤ α, we reject the null hypothesis.
- Since the P-value ≤ α, we fail to reject the null hypothesis.

**Question 6: Interpretation and Analysis**
(e) Interpret your results in the context of the application.

--- 

Explanation of the Context:
This set of questions is designed to guide students through the process of performing a hypothesis test, specifically testing for independence using chi-square or other relevant distributions. The questions guide the user through important steps such as checking the expected frequencies, selecting the appropriate distribution, determining degrees of freedom, estimating the P-value, and making conclusions based on the results.
Transcribed Image Text:Here is a transcription of the text from the image suitable for an educational website: --- **Statistical Analysis Exercise** **Question 1: Expected Frequencies** Are all the expected frequencies greater than 5? - Yes - No **Question 2: Sampling Distribution Selection** What sampling distribution will you use? - chi-square - binomial - uniform - normal - Student’s t **Question 3: Degrees of Freedom** What are the degrees of freedom? **Question 4: P-value Calculation** (c) Find or estimate the P-value of the sample test statistic. - P-value > 0.100 - 0.050 < P-value < 0.100 - 0.025 < P-value < 0.050 - 0.010 < P-value < 0.025 - 0.005 < P-value < 0.010 - P-value < 0.005 **Question 5: Hypothesis Testing** (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence? - Since the P-value > α, we fail to reject the null hypothesis. - Since the P-value ≤ α, we reject the null hypothesis. - Since the P-value ≤ α, we reject the null hypothesis. - Since the P-value ≤ α, we fail to reject the null hypothesis. **Question 6: Interpretation and Analysis** (e) Interpret your results in the context of the application. --- Explanation of the Context: This set of questions is designed to guide students through the process of performing a hypothesis test, specifically testing for independence using chi-square or other relevant distributions. The questions guide the user through important steps such as checking the expected frequencies, selecting the appropriate distribution, determining degrees of freedom, estimating the P-value, and making conclusions based on the results.
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