Simple and Effective Confidence Intervals for Proportions and Dierences of Proportions Result from Adding Two Successes and Two Failures

Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures

Inferences about a linear combination of proportions.

Statistical methods for carrying out asymptotic inferences (tests or confidence intervals) relative to one or two independent binomial proportions are very frequent. However, inferences about a linear combination of K independent proportions L = Σβ(i)p(i) (in which the first two are special cases) have had very little attention paid to them (focused exclusively on the classic Wald method). In t...

Approximate Con dence Intervals for One Proportion and Di erence of Two Proportions

SUMMARY Constructing a conndence interval for a binomial proportion or the diierence of two proportions is a routine exercise in daily data analysis. The best-known method is the Wald interval based on the asymptotic normal approximation to the distribution of the observed sample proportion, though it is known to have a bad performance for small to medium sample sizes. Recently Agresti and his ...

آیا می‌خواهید مفهوم حجم نمونه و توان آزمون‌های آماری را عمیق‌تر درک نمایید؟

Sample size estimation is one of the crucial issues in the research methodology in medical sciences. It is an important issue for not only researchers but also readers of medical papers their frequent questions show how much they need to simple but accurate information. This paper presents the basic concepts of sample size calculation, and simplifies complicated issues using concrete example...

Lesson 9.1.1 Sampling Distribution of Differences of Two Proportions

We will compare the proportions of male and female texters who text frequently while driving. Our primary tool for this comparison is subtraction. That sounds simple enough, but before we can really know when one of these differences between two proportions is significant, we must understand the nature of the distribution of such differences. This understanding allows us to apply the methods of...