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Statistics and Probability with Applications for Engineers and Scientists by Irwin Guttman, Bhisham C. Gupta

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8

Estimation of Population Parameters

The focus of this chapter is the development of methods for finding point and interval estimates of population parameters.

Topics Covered:

  • Point estimators for the population mean and variance
  • Interval estimators for the mean of a normal population
  • Interval estimators for the difference of means of two normal populations
  • Interval estimators for the variance of a normal population
  • Interval estimators for the ratio of variances of two normal populations
  • Other estimation methods: method of moments and the method of maximum likelihood
  • Point and interval estimators for the binomial parameter
  • Prediction: estimation of a future observation

Learning Outcomes:

After studying this chapter, the reader will be able to

  • Understand the role of estimation in applied statistics.
  • Determine the point and interval estimates for parameters of various discrete and continuous distributions.
  • Understand the concept of a confidence coefficient and interpret confidence intervals.
  • Understand the distinction between statistical and practical significance.
  • Apply statistical packages MINITAB, Microsoft Excel, and JMP to determine confidence intervals of parameters of various distributions.

8.1 Introduction

We often encounter statistical problems of the following type: we have a large lot or population of objects such that if a measurement were made on each object, we would have a distribution of these measurements. Since these measurements have not been made, or if ...

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