According to Reader's Digest, 30% of primary care doctors think their patients receive unnecessary medical care. Use the z-table. a. Suppose a sample of 400 primary care doctors was taken. Show the sampling distribution of the proportion of the doctors who think their patients receive unnecessary medical care. E(F) (to 2 decimals) %3D (to 4 decimals) %3D b. What is the probability that the sample proportion will be within ±0.03 of the population proportion? Round your answer to four decimals. c. What is the probability that the sample proportion will be within ±0.05 of the population proportion? Round your answer to four decimals. d. What would be the effect of taking a larger sample on the probabilities in parts (b) and (c)? Why? The probabilities would Select your answer v, This is because the increase in the sample size makes the standard error, o, Select your answer

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**Probability and Sampling in Healthcare Studies**

According to *Reader's Digest*, 30% of primary care doctors believe their patients receive unnecessary medical care. The analysis below uses the z-table to answer related statistical inquiries.

### Task
Suppose a sample of 400 primary care doctors is taken to analyze the proportion of doctors who think their patients receive unnecessary medical care.

1. **Expected Value and Standard Error**
   - Calculate the expected sample proportion \( E(\hat{p}) \).
   - Determine the standard error \( \sigma_{\hat{p}} \).

   Fill in:
   - \( E(\hat{p}) = \_\_\_ \) (to 2 decimals)
   - \( \sigma_{\hat{p}} = \_\_\_ \) (to 4 decimals)

2. **Probability Within Tolerance**
   - **b.** What is the probability that the sample proportion is within \(\pm 0.03\) of the population proportion? Round your answer to four decimals.

3. **Probability with Larger Tolerance**
   - **c.** What is the probability that the sample proportion is within \(\pm 0.05\) of the population proportion? Round your answer to four decimals.

4. **Effect of a Larger Sample**
   - **d.** Discuss the effect of increasing the sample size on the probabilities in parts (b) and (c).
   
   The probabilities would: [Select your answer].
   
   Explain why: Increasing the sample size decreases the standard error, \( \sigma_{\hat{p}} \). [Select your answer].

---

This exercise facilitates a deeper understanding of how sample size affects precision and the probability of achieving results within a specified tolerance of the population proportion in statistical studies.
Transcribed Image Text:**Probability and Sampling in Healthcare Studies** According to *Reader's Digest*, 30% of primary care doctors believe their patients receive unnecessary medical care. The analysis below uses the z-table to answer related statistical inquiries. ### Task Suppose a sample of 400 primary care doctors is taken to analyze the proportion of doctors who think their patients receive unnecessary medical care. 1. **Expected Value and Standard Error** - Calculate the expected sample proportion \( E(\hat{p}) \). - Determine the standard error \( \sigma_{\hat{p}} \). Fill in: - \( E(\hat{p}) = \_\_\_ \) (to 2 decimals) - \( \sigma_{\hat{p}} = \_\_\_ \) (to 4 decimals) 2. **Probability Within Tolerance** - **b.** What is the probability that the sample proportion is within \(\pm 0.03\) of the population proportion? Round your answer to four decimals. 3. **Probability with Larger Tolerance** - **c.** What is the probability that the sample proportion is within \(\pm 0.05\) of the population proportion? Round your answer to four decimals. 4. **Effect of a Larger Sample** - **d.** Discuss the effect of increasing the sample size on the probabilities in parts (b) and (c). The probabilities would: [Select your answer]. Explain why: Increasing the sample size decreases the standard error, \( \sigma_{\hat{p}} \). [Select your answer]. --- This exercise facilitates a deeper understanding of how sample size affects precision and the probability of achieving results within a specified tolerance of the population proportion in statistical studies.
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