When working with statistics, OpenOffice.org Calc is handy to calculate a confidence interval. The purpose is to estimate the mean (average) of a population from a sample of the population. As a typical example CNN reported, "63 percent of respondents say [New Orleans] should rebuild" after ...
However, data is often better described by breaking it up into several bins, each represented by a different binomial distribution. We describe and provide an algorithm for calculating a classical confidence interval on the expected total number of misclassified events from several bins, based on ...
To see how we can construct a confidence interval, we will work through an example. Suppose we know that the heights of a specific species of pea plants are normally distributed. A simple random sample of 30 pea plants has a mean height of 12 inches with a sample standard deviation of 2...
Confidence Intervals:A confidence interval is used in statistics when a range of values, that potentially contains a population parameter, is needed. Using a corresponding z-score, an interval can be calculated. Common confidence intervals of 95% and 99% increase the likelihood that the range of...
Calculating the expected number of misclassified outcomes is a standard problem of particular interest for rare-event searches. The Clopper–Pearson method allows calculation of classical confidence intervals on the amount of misclassification if data are all drawn from the same binomial probability distri...
Confidence intervals demonstrate how sure researchers are that a mean will lie between two numbers. Identify the importance of point and interval...
This first moment and interval allows an analyst to determine whether a stock is overor under-valued.doi:10.4236/jmf.2013.32027William J. HurleyJournal of Mathematical FinanceHurley, WJ (2013) Calculating first moments and confidence intervals for generalized stochastic dividend discount models. J Math...
A review of methods for constructing exact and large sample intervals for vaccine efficacy is provided as a framework for comparison. The confidence interval methods are assessed by comparing the size and power of tests of vaccine efficacy in proposed intermediate sized randomized double blinded ...
Yes, I expect to get one confidence interval for each observation. The context for this exercise is that, for example, we want to study the housing price difference in two regions. I first run a regression to determine how the housing charateristics (X) would affect a house price (Y),...
Equal-tailed confidence intervals that maintain nominal coverage (0.95 or greater probability that a 95% confidence interval covers the true value) are useful in interval-based statistical reliability standards, because they remain conservative. For age-adjusted death rates, while the Fay–Feuer gamma ...