Student Solutions Manual for Mendenhall/Beaver/Beaver’s Introduction to Probability and Statistics, 12th

by Mendenhall, William; Beaver, Robert J.; Beaver, Barbara M.

• ISBN13: 9780534463250
• ISBN10: 0534463258
• Additional ISBN(s): 9780495389569
• Edition: 12th
• Format: Paperback
• Copyright: 2005-01-03
• Publisher: Duxbury Press
• More Book Details
• Purchase Benefits

Summary

This manual contains worked out solutions to selected problems in the text.

Table of Contents

Preface

Introduction: Train Your Brain for Statistics

Describing Data With Graphs

Variables and Data

Types of Variables

Graphs for Categorical Data

Graphs for Quantitative Variables

Relative Frequency Histograms

Key Concepts

Do It Yourself

MyMINITAB -- Introduction to MINITAB

Case Study: How Is Your Blood Pressure?

Describing Data With Numerical Measures

Describing a Set of Data with Numerical Measures

Measures of Center

Measures of Variability

On the Practical Significance of the Standard Deviation

A Check on the Calculation of s

Measures of Relative Standing

The Five-number Summary and the Box Plot

Key Concepts and Formulas

MyMINITAB -- Numerical Descriptive Measures

Case Study: The Boys of Summer

Describing Bivariate Data

Bivariate Data

Graphs for Qualitative Variables

Scatterplots for Two Quantitative Variables

Numerical Measures for Quantitative Bivariate Data

Key Concepts

MyMINITAB -- Describing Bivariate Data

Case Study: Do You Think Your Dishes Are Really Clean?

Probability and Probability Distributions

The Role of Probability in Statistics

Events and the Sample Space

Calculating Probabilities Using Simple Events

Useful Counting Rules (Optional)

Event Relations and Probability Rules

Calculating Probabilities; Independence and the Multiplication Rule

Calculating Probabilities for Intersections

Bayes'' Rule (Optional)

Discrete Random Variables and their Probability Distributions

The Mean and Standard Deviation for a Discrete Random Variable

Key Concepts and Formulas

MyMINITAB -- Discrete Probability Distributions

Case Study: Probability and Decision Making in the Congo

Several Useful Discrete Distributions

Introduction

The Binomial Probability Distribution

The Poisson Probability Distribution

The Hypergeometric Probability Distribution

Key Concepts and Formulas

MyMINITAB -- Binomial and Poisson Probabilities

Case Study: A Mystery: Cancers Near a Reactor

The Normal Probability Distribution

Probability Distributions for Continuous Random Variables

The Normal Probability Distribution

Tabulated Areas of the Normal Probability Distribution

The Normal Approximation to the Binomial Probability Distribution (Optional)

Key Concepts and Formulas

MyMINITAB --Normal Probabilities

Case Study: The Long and Short of It

Sampling Distributions

Introduction

Sampling Plans and Experimental Designs

Statistics and Sampling Distributions

The Central Limit Theorem

The Sampling Distribution of the Sample Mean

The Sampling Distribution of the Sample Proportion

A Sampling Application: Statistical Process Control (Optional)

Key Concepts and Formulas

MyMINITAB -- The Central Limit Theorem at Work

Case Study: Sampling the Roulette at Monte Carlo

Large-Sample Estimation

Where We''ve Been

Where We''re Going-Statistical Inference

Types of Estimators

Point Estimation

Interval Estimation

Estimating the Difference between Two Population Means

Estimating the Difference between Two Binomial Proportions

One-Sided Confidence Bounds

Choosing the Sample Size

Key Concepts and Formulas

Case Study: How Reliable Is That Poll?

Large-Sample Tests Of Hypotheses

Testing Hypotheses about Population Parameters

A Statistical Test of Hypothesis

A Large-Sample Test about a Population Mean

A Large-Sample Test of Hypothesis for the Difference in Two Population Means

A Large-Sample Test of Hypothesis for a Binomial Proportion

A Large-Sample Test of Hypothesis for the Difference in Two Binomial Proportions

Some Comments on Testing Hypotheses

Key Concepts and Formulas

Case Study: An Aspirin a Day?

Inference From Small Samples

Introduction

Student''s Distribution

Small-Sample Inferences Concerning a Population Mean

Small-Sample Inferences for the Difference between Two Population Means: Independent Random Samples

Small-Sample Inferences for the Difference between Two Means: A Paired Difference Test

Inferences Concerning a Population Variance

Comparing Two Po

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