Student Solutions Manual to accompany Statistics: Principles and Methods, 4th Edition

by Richard A. Johnson (Univ. of Wisconsin, Madison); Gouri K. Bhattacharyya (Univ. of Wisconsin, Madison )

• ISBN13: 9780471404255
• ISBN10: 047140425X
• Edition: 4th
• Format: Paperback
• Copyright: 2000-11-01
• Publisher: Wiley

Summary

Work more effectively and check solutions as you go along with the text! ThisSolutions Manual is designed to accompany Johnson'sStatistics: Principles & Methods, 4th Edition. It includes solutions to odd-numbered exercises in the textbook.Noted for its clear, concise, and statistically accurate discussions, Johnson'sStatistics: Principles & Methods, 4th Edition constantly probes beyond the procedures to teach the reader the reasoning behind a method. The authors discuss the assumptions that all statistical models make and motivate discussions using real-life examples. By means of good motivation, sound explanations, and an abundance of illustrations given in a real-world context, this book emphasizes more than just a superficial understanding of the material.

Table of Contents

Introduction

What is Statistics?

Statistics in Our Everyday Life

Statistics in Aid of Scientific Inquiry

Two Basic Concepts- Population and Sample

The Purposeful Collection of Data

Statistics in Context

Objectives of Statistics

Review Exercises.

Organization and Description of Data

Introduction

Main Types of Data

Describing Data by Tables and Graphs

Measures of Center

Measures of Variation

Checking the Stability of the Observations over Time

More on Graphics

Statistics in Context

Review Exercises

Descriptive Study of Bivariate Data

Introduction

Summarization of Bivariate Categorical Data

A Designed Experiment for Making a Comparison

Scatter Diagram of Bivariate Measurement Data

The Correlation Coefficient- A Measure of Linear Relation

Prediction of One Variable from Another (Linear Regression)

Review Exercises

Probability

Introduction

Probability of an Event

Methods of Assigning Probability

Event Relations and Two Laws of Probability

Conditional Probability and Independence

Random Sampling from a Finite Population

Review Exercises

Probability Distributions

Introduction

Random Variables

Probability Distribution of a Discrete Random Variable

Expectation (Mean) and Standard Deviation of a Probability Distribution

Success and Failures- Bernoulli Trials

The Binomal Distribution

The Binomal Distribution in Context

Review Exercises

The Normal Distribution

Probability Model for a Continuous Random Variable

The Normal Distribution-Its General Features

The Standard Normal Distribution

Probability Calculations with Normal Distributions

The Normal Approximation to the Binomial

Checking the Plausibility of a Normal Model

Transforming Observations to Attain Near Normality

Review Exercises

Variation in Repeated Samples-Sampling Distribution

Introduction

The Sampling Distribution of a Statistic

Distribution of the Sample Mean and the Central Limit Theorem

Statistics in Context

Review Exercises

Drawing Inferences From Large Samples

Introduction

Point Estimation of Population Mean

Confidence Interval for a Population Mean

Testing Hypotheses about a Population Mean

Inferences about a Population Proportion

Review Exercises

Small-Sample Inferences for Normal Populations

Introduction

Independent Random Samples from Two Populations

Inferences about -Small Sample Size

Relationship between Tests and Confidence Intervals

Inferences about Standard Deviation (The Chi-Square D

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