4, A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of Ule JUDS COITendy UONL D) pLopiUI following data collected from nurses, tax auditors, and fast-food workerss in which a higher score means the person feels his or her job is more likely to be autormated. Tax Auditor Fast-Food Worker Nurse 4. 4. 6. 6. 3 3 3. 4 3 3. 5. 2 6. (a) Use a = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions. State the null and alternative hypotheses. HFast-food worker O H: Nurse Tax auditor H PNurse %3D *HTax auditor * Fast-food worker O H: Nurse Tax auditor : Not all the population means are equal. = Fast-food worker O Ho: PNurse Tax auditor Fast-food worker H Nurse PTax auditor Fast-food worker O H: At least two of the population means are equal. H: At least two of the population means are different. O Ho: Not all the population means are equal. H: HEast-food worker

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### Understanding Automation Trends Across Professions

A Pew Research study conducted in 2017 found that approximately 73% of Americans believe that robots and computers might one day do many of the jobs currently done by people. The data shown below is collected from nurses, tax auditors, and fast-food workers, with higher scores indicating that participants feel their job is more likely to be automated.

#### Data Table:
The table presents survey results for three professions: 

|           | Nurse | Tax Auditor | Fast Food Worker |
|-----------|-------|-------------|------------------|
| **1**     | 2     | 3           | 3                |
| **2**     | 4     | 5           | 3                |
| **3**     | 3     | 3           | 5                |
| **4**     | 2     | 3           | 6                |
| **5**     | 5     | 4           | 5                |
| **6**     | 6     | 6           | 6                |
| **7**     | 5     | 5           | 4                |
| **8**     | 5     | 6           | 5                |

#### Statistical Analysis

(a) **Hypothesis Testing Using α = 0.05**

- **Objective:** Test for differences in the belief that a person's job is likely to be automated across the three professions.
  
- **Null and Alternative Hypotheses:**
  - \( H_0: \) The population means are equal.
  - \( H_a: \) At least one of the population means is different.

**Options for Hypotheses:**

- \( H_0: \mu_{\text{Nurse}} = \mu_{\text{Tax Auditor}} = \mu_{\text{Fast Food Worker}} \)
- \( H_a: \mu_{\text{Nurse}} \neq \mu_{\text{Tax Auditor}} \neq \mu_{\text{Fast Food Worker}} \)

The data in the table and hypothesis testing aims to identify perceived automation threats among these professions.
Transcribed Image Text:### Understanding Automation Trends Across Professions A Pew Research study conducted in 2017 found that approximately 73% of Americans believe that robots and computers might one day do many of the jobs currently done by people. The data shown below is collected from nurses, tax auditors, and fast-food workers, with higher scores indicating that participants feel their job is more likely to be automated. #### Data Table: The table presents survey results for three professions: | | Nurse | Tax Auditor | Fast Food Worker | |-----------|-------|-------------|------------------| | **1** | 2 | 3 | 3 | | **2** | 4 | 5 | 3 | | **3** | 3 | 3 | 5 | | **4** | 2 | 3 | 6 | | **5** | 5 | 4 | 5 | | **6** | 6 | 6 | 6 | | **7** | 5 | 5 | 4 | | **8** | 5 | 6 | 5 | #### Statistical Analysis (a) **Hypothesis Testing Using α = 0.05** - **Objective:** Test for differences in the belief that a person's job is likely to be automated across the three professions. - **Null and Alternative Hypotheses:** - \( H_0: \) The population means are equal. - \( H_a: \) At least one of the population means is different. **Options for Hypotheses:** - \( H_0: \mu_{\text{Nurse}} = \mu_{\text{Tax Auditor}} = \mu_{\text{Fast Food Worker}} \) - \( H_a: \mu_{\text{Nurse}} \neq \mu_{\text{Tax Auditor}} \neq \mu_{\text{Fast Food Worker}} \) The data in the table and hypothesis testing aims to identify perceived automation threats among these professions.
## Hypothesis Testing and Fisher's LSD Procedure

### Step 1: Test Statistics and Conclusion

- **Find the value of the test statistic.** (Round your answer to two decimal places)

- **Find the *p*-value.** (Round your answer to three decimal places)

- **State your conclusion:**
  - \(\bigcirc\) Reject \(H_0\). There is sufficient evidence to conclude that there is a difference in mean scores for the three professions.
  - \(\bigcirc\) Do not reject \(H_0\). There is not sufficient evidence to conclude that there is a difference in mean scores for the three professions.

### Step 2: Fisher's LSD Procedure

- **Calculate Fisher's LSD to compare the means:**
  - **Find the value of LSD.** (Round your answer to two decimal places)

#### Pairwise Comparison

- **Find the pairwise absolute difference between sample means for nurses and tax auditors.**

  \(\lvert X_{nurse} - X_{tax\ auditor} \rvert = \_\_\_ \)

### Conclusions

- **What conclusion can you draw after carrying out this test?**
  - \(\bigcirc\) There is a significant difference between the means for nurses and tax auditors.
  - \(\bigcirc\) There is not a significant difference between the means for nurses and tax auditors.

> **Note:** Use \(\alpha = 0.05\) for the significance level. The test is exploring whether there's a belief that a person’s job will be automated for nurses and tax auditors.
Transcribed Image Text:## Hypothesis Testing and Fisher's LSD Procedure ### Step 1: Test Statistics and Conclusion - **Find the value of the test statistic.** (Round your answer to two decimal places) - **Find the *p*-value.** (Round your answer to three decimal places) - **State your conclusion:** - \(\bigcirc\) Reject \(H_0\). There is sufficient evidence to conclude that there is a difference in mean scores for the three professions. - \(\bigcirc\) Do not reject \(H_0\). There is not sufficient evidence to conclude that there is a difference in mean scores for the three professions. ### Step 2: Fisher's LSD Procedure - **Calculate Fisher's LSD to compare the means:** - **Find the value of LSD.** (Round your answer to two decimal places) #### Pairwise Comparison - **Find the pairwise absolute difference between sample means for nurses and tax auditors.** \(\lvert X_{nurse} - X_{tax\ auditor} \rvert = \_\_\_ \) ### Conclusions - **What conclusion can you draw after carrying out this test?** - \(\bigcirc\) There is a significant difference between the means for nurses and tax auditors. - \(\bigcirc\) There is not a significant difference between the means for nurses and tax auditors. > **Note:** Use \(\alpha = 0.05\) for the significance level. The test is exploring whether there's a belief that a person’s job will be automated for nurses and tax auditors.
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