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Ch. 6 - Confidence Intervals
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470당신이 사용하는 게 아니라요?교과서 변경
6장, 문제 6.R.21

In Exercises 19–22, let p be the population proportion for the situation. (a) Find point estimates of p and q, (b) construct 90% and 95% confidence intervals for p, and (c) interpret the results of part (b) and compare the widths of the confidence intervals.
In a survey of 73,901 college graduates, 23,991 obtained a postgraduate degree. (Adapted from Gallup)

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Step 1: Calculate the point estimates for p and q. The population proportion p is estimated as the ratio of the number of successes (graduates with postgraduate degrees) to the total number of observations (total graduates). Use the formula p = x / n, where x = 23,991 and n = 73,901. Then, calculate q as q = 1 - p.
Step 2: Construct the 90% confidence interval for p. Use the formula for a confidence interval: CI = p ± Z * sqrt((p * q) / n), where Z is the critical value for the desired confidence level (for 90%, Z ≈ 1.645). Substitute the values of p, q, and n into the formula to calculate the margin of error and the interval.
Step 3: Construct the 95% confidence interval for p. Use the same formula as in Step 2, but with the critical value Z ≈ 1.96 for a 95% confidence level. Again, substitute the values of p, q, and n to calculate the margin of error and the interval.
Step 4: Interpret the results of the confidence intervals. Explain that the 90% confidence interval means we are 90% confident that the true population proportion p lies within the interval, and similarly, the 95% confidence interval means we are 95% confident that the true population proportion p lies within the interval.
Step 5: Compare the widths of the confidence intervals. Note that the 95% confidence interval is wider than the 90% confidence interval because a higher confidence level requires a larger margin of error to ensure the true population proportion is captured within the interval.

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Point Estimate

A point estimate is a single value that serves as an approximation of a population parameter. In this context, the point estimate for the population proportion p is calculated by dividing the number of individuals with a postgraduate degree by the total number of surveyed individuals. This provides a quick snapshot of the proportion of graduates who pursued further education.
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가이드 코스
06:33
Introduction to Confidence Intervals

Confidence Interval

A confidence interval is a range of values, derived from sample statistics, that is likely to contain the true population parameter with a specified level of confidence. For example, a 90% confidence interval suggests that if we were to take many samples, approximately 90% of the calculated intervals would contain the true population proportion p. This concept is crucial for understanding the precision and reliability of the point estimate.
추천 영상:
가이드 코스
06:33
Introduction to Confidence Intervals

Width of Confidence Intervals

The width of a confidence interval reflects the level of uncertainty associated with the estimate of the population parameter. A wider interval indicates greater uncertainty, while a narrower interval suggests more precision. Comparing the widths of 90% and 95% confidence intervals helps to illustrate the trade-off between confidence level and precision, as higher confidence levels typically result in wider intervals.
추천 영상:
가이드 코스
06:33
Introduction to Confidence Intervals