Only about 13% of all people can wiggle their ears. Is this percent different for millionaires? Of the 364 millionaires surveyed, 40 could wiggle their ears. What can be concluded at the a= 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? H₁: ? Select an answer Select an answer c. The test statistic? = (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 3 decimal places.) d. The p-value = e. The p-value is ? & f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population proportion is not significantly different from 13% at a = 0.01, so there is statistically insignificant evidence to conclude that the population proportion of millionaires who can wiggle their ears is different from 13%. The data suggest the population proportion is not significantly different from 13% at a = 0.01, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 13%. O The data suggest the populaton proportion is significantly different from 13% at a = 0.01, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is different from 13%.

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### Statistical Analysis: Ear Wiggling Among Millionaires

**Context:**  
Only about 13% of the general population can wiggle their ears. A survey conducted with 364 millionaires revealed that 40 of them could wiggle their ears. We aim to determine if the proportion of ear-wiggling among millionaires is significantly different from the general population, using a significance level of \(\alpha = 0.01\).

#### Steps for Hypothesis Testing:

**a. Test Selection**  
- For this study, select the appropriate statistical test to analyze the data.

**b. Formulating Hypotheses**  
- **Null Hypothesis (\(H_0\)):** The population proportion of millionaires who can wiggle their ears is equal to 13%.
  
  \[H_0 : p = 0.13\]

- **Alternative Hypothesis (\(H_1\)):** The population proportion of millionaires who can wiggle their ears is different from 13%.

  \[H_1 : p \neq 0.13\]

**c. Calculation of Test Statistic**  
- Calculate the test statistic and provide the answer to three decimal places.

**d. Determination of P-value**  
- Compute the p-value and ensure it is presented to three decimal places.

**e. Comparison of P-value and Alpha**  
- Analyze if the p-value is less than or equal to \(\alpha\).

**f. Decision Making**  
- Based on the p-value, decide whether to reject the null hypothesis.

**g. Conclusion**  
- Formulate the final conclusion based on the statistical analysis:

  - \(\bigcirc\) The data suggest the population proportion is not significantly different from 13% at \(\alpha = 0.01\), indicating statistically insignificant evidence to conclude that the population proportion of millionaires who can wiggle their ears is different from 13%.

  - \(\bigcirc\) The data suggest the population proportion is not significantly different from 13% at \(\alpha = 0.01\), indicating statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 13%.

  - \(\bigcirc\) The data suggest the population proportion is significantly different from 13% at \(\alpha = 0.01
Transcribed Image Text:Certainly! Here is a detailed transcription and explanation suitable for an educational website: --- ### Statistical Analysis: Ear Wiggling Among Millionaires **Context:** Only about 13% of the general population can wiggle their ears. A survey conducted with 364 millionaires revealed that 40 of them could wiggle their ears. We aim to determine if the proportion of ear-wiggling among millionaires is significantly different from the general population, using a significance level of \(\alpha = 0.01\). #### Steps for Hypothesis Testing: **a. Test Selection** - For this study, select the appropriate statistical test to analyze the data. **b. Formulating Hypotheses** - **Null Hypothesis (\(H_0\)):** The population proportion of millionaires who can wiggle their ears is equal to 13%. \[H_0 : p = 0.13\] - **Alternative Hypothesis (\(H_1\)):** The population proportion of millionaires who can wiggle their ears is different from 13%. \[H_1 : p \neq 0.13\] **c. Calculation of Test Statistic** - Calculate the test statistic and provide the answer to three decimal places. **d. Determination of P-value** - Compute the p-value and ensure it is presented to three decimal places. **e. Comparison of P-value and Alpha** - Analyze if the p-value is less than or equal to \(\alpha\). **f. Decision Making** - Based on the p-value, decide whether to reject the null hypothesis. **g. Conclusion** - Formulate the final conclusion based on the statistical analysis: - \(\bigcirc\) The data suggest the population proportion is not significantly different from 13% at \(\alpha = 0.01\), indicating statistically insignificant evidence to conclude that the population proportion of millionaires who can wiggle their ears is different from 13%. - \(\bigcirc\) The data suggest the population proportion is not significantly different from 13% at \(\alpha = 0.01\), indicating statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 13%. - \(\bigcirc\) The data suggest the population proportion is significantly different from 13% at \(\alpha = 0.01
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