99% confidence interval estimate of the true proportion of households with telephones.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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In a recent survey of 4276 randomly selected households, it was found that 4020 of them had telephones. Using these results, we aim to construct a 99% confidence interval estimate of the true proportion of households with telephones.

### Confidence Interval Estimation Steps:

**P - PARAMETER**
- Describe the parameter in context. This should be a complete sentence.

**A - ASSUMPTIONS**
- Are we allowed to construct an interval and why?

**N - NAME THE INTERVAL**
- State what command you will be using to compute the interval along with the values you need.

**I - INTERVAL CALCULATION**
- Find the interval.

**C - CONCLUSION**
- Write a sentence summarizing what you have found.

### Explanation

- **P - PARAMETER**: The parameter of interest is the true proportion of households that have telephones.
  
- **A - ASSUMPTIONS**: We need to verify that the sample size is large enough and the sample is random to generalize the results to the population. Typically, the conditions for constructing a confidence interval for a proportion include:
  - The sample is random.
  - The sample size is less than 10% of the population, ensuring independence.
  - Both np and n(1-p) are greater than 10, where n is the sample size and p is the sample proportion.

- **N - NAME THE INTERVAL**: For this scenario, we use a 99% confidence interval for the population proportion. The formula to compute the interval is \[ \hat{p} \pm Z \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \], 
  where \(\hat{p}\) is the sample proportion, Z is the critical value from the Z-distribution corresponding to the desired confidence level, and n is the sample size.

- **I - INTERVAL CALCULATION**: Calculate the interval using the formula mentioned above. Substitute the known values:
  - \(\hat{p} = \frac{4020}{4276}\)
  - Z value for 99% confidence level
  - n = 4276

- **C - CONCLUSION**: Once the interval is calculated, a concluding sentence should summarize the findings. For instance, "We are 99% confident that the true proportion of households with telephones lies within the calculated interval."

By following these
Transcribed Image Text:In a recent survey of 4276 randomly selected households, it was found that 4020 of them had telephones. Using these results, we aim to construct a 99% confidence interval estimate of the true proportion of households with telephones. ### Confidence Interval Estimation Steps: **P - PARAMETER** - Describe the parameter in context. This should be a complete sentence. **A - ASSUMPTIONS** - Are we allowed to construct an interval and why? **N - NAME THE INTERVAL** - State what command you will be using to compute the interval along with the values you need. **I - INTERVAL CALCULATION** - Find the interval. **C - CONCLUSION** - Write a sentence summarizing what you have found. ### Explanation - **P - PARAMETER**: The parameter of interest is the true proportion of households that have telephones. - **A - ASSUMPTIONS**: We need to verify that the sample size is large enough and the sample is random to generalize the results to the population. Typically, the conditions for constructing a confidence interval for a proportion include: - The sample is random. - The sample size is less than 10% of the population, ensuring independence. - Both np and n(1-p) are greater than 10, where n is the sample size and p is the sample proportion. - **N - NAME THE INTERVAL**: For this scenario, we use a 99% confidence interval for the population proportion. The formula to compute the interval is \[ \hat{p} \pm Z \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \], where \(\hat{p}\) is the sample proportion, Z is the critical value from the Z-distribution corresponding to the desired confidence level, and n is the sample size. - **I - INTERVAL CALCULATION**: Calculate the interval using the formula mentioned above. Substitute the known values: - \(\hat{p} = \frac{4020}{4276}\) - Z value for 99% confidence level - n = 4276 - **C - CONCLUSION**: Once the interval is calculated, a concluding sentence should summarize the findings. For instance, "We are 99% confident that the true proportion of households with telephones lies within the calculated interval." By following these
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