Handout for Chapter 8
... Sample Size for an Interval Estimate of a Population Mean The Necessary Sample Size equation requires a value for the population standard deviation s . If s is unknown, a preliminary or planning value for s can be used in the equation. 1. Use the estimate of the population standard deviation compute ...
... Sample Size for an Interval Estimate of a Population Mean The Necessary Sample Size equation requires a value for the population standard deviation s . If s is unknown, a preliminary or planning value for s can be used in the equation. 1. Use the estimate of the population standard deviation compute ...
Practical
... has over the width (upper limit minus lower limit) of the confidence interval. Open the Stata file called hhsize_samples.dta. This file has information on household size for samples of different sizes drawn from rural households in the Central region in Uganda. The columns names, i.e. sample10, samp ...
... has over the width (upper limit minus lower limit) of the confidence interval. Open the Stata file called hhsize_samples.dta. This file has information on household size for samples of different sizes drawn from rural households in the Central region in Uganda. The columns names, i.e. sample10, samp ...
here - BCIT Commons
... value of z further away from zero. You can see from this that in order to be absolutely certain of our interval estimate of , we would have to reduce , the combined tail areas, to zero. This can only be achieved by having z/2 become infinite, and so obtaining the interval estimate: - +, a ...
... value of z further away from zero. You can see from this that in order to be absolutely certain of our interval estimate of , we would have to reduce , the combined tail areas, to zero. This can only be achieved by having z/2 become infinite, and so obtaining the interval estimate: - +, a ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.