# Outline of Chapter 7 text - Elementary Statistics: A Brief Version(A. Bluman 3rd Ed., 2003)

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Chapter 7 Outline

Objectives

Find the confidence interval for the mean when s is known or n > 30.

Determine the minimum sample size for finding a confidence interval for the mean.

Find the confidence interval for the mean when s is unknown and n

Objectives (cont'd.)

Find the confidence interval for a proportion.

Determine the minimum sample size for finding a confidence interval for a proportion.

Find a confidence interval for a variance and a standard deviation.

Introduction

Estimation is the process of estimating the value of a parameter from information obtained from a sample.

Three Properties of a Good Estimator

The estimator should be an unbiased estimator. That is, the expected value or the mean of the estimates obtained from samples of a given size is equal to the parameter being estimated.

The estimator should be consistent. For a consistent estimator, as sample size increases, the value of the estimator approaches the value of the parameter estimated.

The estimator should be a relatively efficient estimator; that is, of all the statistics that can be used to estimate a parameter, the relatively efficient estimator has the smallest variance.

Point and Interval Estimates

A point estimate is a specific numerical value of a parameter. The best point estimate of the population mean m is the sample mean .

Confidence Level and Confidence Interval

The confidence level of an interval estimate of a parameter is the probability that the interval estimate will contain the parameter.

A confidence interval is a specific interval estimate of a parameter determined by using data obtained from a sample and by using the specific confidence level of the estimate.

Formula

Formula for the Confidence Interval of the Mean for a Specific a

For a 95% confidence interval, ;

and for a 99% confidence interval,

Maximum Error...