Math Problem Statement

A drug is used to help prevent blood clots in certain patients. In clinical trials, among 4608 patients treated with the drug, 167 developed the adverse reaction of nausea. Construct a 99% confidence interval for the proportion of adverse reactions. Find the best point estimate of the population proportion p (rounded to three decimal places as needed).

Solution

To solve part (a) of the question, we are tasked with finding the best point estimate of the population proportion pp, given the following information:

  • Total number of patients treated: n=4608n = 4608
  • Number of patients who developed adverse reactions: x=167x = 167

Formula for Point Estimate

The best point estimate for the population proportion is given by: p^=xn\hat{p} = \frac{x}{n}

Substitute the given values: p^=1674608\hat{p} = \frac{167}{4608}

Calculation

p^=0.0362\hat{p} = 0.0362

Final Answer

The best point estimate of the population proportion pp is: 0.036\boxed{0.036} (rounded to three decimal places as requested).

Would you like me to proceed with constructing the confidence interval (part b), or provide more detailed explanations for any of these steps?


Here are 5 related questions to expand your understanding:

  1. What is the formula for constructing a confidence interval for a population proportion?
  2. How does the choice of confidence level (e.g., 99%) affect the width of the confidence interval?
  3. What conditions must be satisfied to use the normal approximation for constructing the confidence interval?
  4. How do you calculate the margin of error for a population proportion?
  5. What does the best point estimate tell us about the population?

Tip: Always verify that the sample size is large enough to use the normal approximation by checking np^5n \hat{p} \geq 5 and n(1p^)5n(1 - \hat{p}) \geq 5.

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Math Problem Analysis

Mathematical Concepts

Statistics
Point Estimation
Proportions

Formulas

Point Estimate Formula: p̂ = x / n
Confidence Interval Formula for Proportion: p̂ ± Z * √(p̂(1-p̂)/n)

Theorems

Central Limit Theorem
Normal Approximation to Binomial Distribution

Suitable Grade Level

College-level introductory statistics or advanced high school