A psychologist is interested in constructing a 95% confidence interval for the proportion of people who accept the theory that a person's spirit is no more than the complicated network of neurons in the brain. 71 of the 727 randomly selected people who were surveyed agreed with this theory. Round answers to 4 decimal places where possible. a. With 95% confidence the proportion of all people who accept the theory that a person's spirit is no more than the complicated network of neurons in the brain is between and b. If many groups of 727 randomly selected people are surveyed, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population proportion of all people who accept the theory that a person's spirit is no more than the complicated network of neurons in the brain and about percent will not contain the true population proportion.

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**Confidence Interval and Population Proportion Analysis**

A psychologist is interested in constructing a 95% confidence interval for the proportion of people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain. 71 of the 727 randomly selected people who were surveyed agreed with this theory. Round answers to 4 decimal places where possible.

**Questions:**

a. With 95% confidence, the proportion of all people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain is between 
   
   [ ] and [ ].

b. If many groups of 727 randomly selected people are surveyed, then a different confidence interval would be produced from each group. About [ ] percent of these confidence intervals will contain the true population proportion of all people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain and about [ ] percent will not contain the true population proportion.

**Hint:**

- **Hints**: [ ] 
- **Video**: [+] 

**Explanation:**

Understanding confidence intervals and population proportions is essential in statistical analysis. A confidence interval provides a range of values which is likely to contain the population parameter with a certain degree of confidence. When constructing a 95% confidence interval, it means that if we were to take numerous samples and construct a confidence interval from each sample, approximately 95% of these intervals will contain the true population proportion, while 5% will not.

**Steps to Calculate a Confidence Interval for Proportion:**

1.  **Calculate the sample proportion (p̂):**
    \[
    p̂ = \frac{\text{number of successes}}{\text{sample size}} 
    \]
    Here, number of successes = 71 and sample size = 727.
  
2.  **Calculate the standard error (SE) of the sample proportion:**
    \[
    SE = \sqrt{\frac{p̂ (1 - p̂)}{n}} 
    \]
    Where \( p̂ \) is the sample proportion and \( n \) is the sample size.
  
3.  **Find the critical value (z*) for a 95% confidence level:**
    The critical value for a 95% confidence level is 1.96.
  
4.  **Construct the confidence interval:**
    \[
    p̂ \pm (z
Transcribed Image Text:**Confidence Interval and Population Proportion Analysis** A psychologist is interested in constructing a 95% confidence interval for the proportion of people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain. 71 of the 727 randomly selected people who were surveyed agreed with this theory. Round answers to 4 decimal places where possible. **Questions:** a. With 95% confidence, the proportion of all people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain is between [ ] and [ ]. b. If many groups of 727 randomly selected people are surveyed, then a different confidence interval would be produced from each group. About [ ] percent of these confidence intervals will contain the true population proportion of all people who accept the theory that a person’s spirit is no more than the complicated network of neurons in the brain and about [ ] percent will not contain the true population proportion. **Hint:** - **Hints**: [ ] - **Video**: [+] **Explanation:** Understanding confidence intervals and population proportions is essential in statistical analysis. A confidence interval provides a range of values which is likely to contain the population parameter with a certain degree of confidence. When constructing a 95% confidence interval, it means that if we were to take numerous samples and construct a confidence interval from each sample, approximately 95% of these intervals will contain the true population proportion, while 5% will not. **Steps to Calculate a Confidence Interval for Proportion:** 1. **Calculate the sample proportion (p̂):** \[ p̂ = \frac{\text{number of successes}}{\text{sample size}} \] Here, number of successes = 71 and sample size = 727. 2. **Calculate the standard error (SE) of the sample proportion:** \[ SE = \sqrt{\frac{p̂ (1 - p̂)}{n}} \] Where \( p̂ \) is the sample proportion and \( n \) is the sample size. 3. **Find the critical value (z*) for a 95% confidence level:** The critical value for a 95% confidence level is 1.96. 4. **Construct the confidence interval:** \[ p̂ \pm (z
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