ELEMENTARY STATISTICS (AIE)

by ADDI LONG

• ISBN13: 9780201614800
• ISBN10: 0201614804
• Edition: 8th
• Copyright: 2001-01-01
• Publisher: ADDISON WESLEY LONGMAN,INC (ELHI)

Summary

Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

Table of Contents

Introduction to Statistics

Overview

The Nature of Data

Uses and Abuses of Statistics

Design of Experiments

Describing, Exploring, and Comparing Data

Overview

Summarizing Data with Frequency Tables

Pictures of Data

Measures of Center

Measures of Variation

Measures of Position

Exploratory Data Analysis (EDA)

Probability

Overview

Fundamentals

Addition Rule

Multiplication Rule: Basics

Multiplication Rule: Complements and Conditional Probability

Probabilities Through Simulations

Counting

Probability Distributions

Overview

Random Variables

Binomial Probability Distributions

Mean, Variance, and Standard Deviation for the Binomial Distribution

The Poisson Distribution

Normal Probability Distributions

Overview

The Standard Normal Distribution

Nonstandard Normal Distributions: Finding Probabilities

Nonstandard Normal Distributions: Finding Values

The Central Limit Theorem

Normal Distribution as Approximation to Binomial Distribution

Determining Normality

Estimates and Sample Sizes

Overview

Estimating a Population Mean: Large Samples

Estimating a Population Mean: Small Samples

Determining Sample Size

Estimating a Population Proportion

Estimating a Population Variance

Hypothesis Testing

Overview

Fundamentals of Hypothesis Testing

Testing a Claim about a Mean: Large Samples

Testing a Claim about a Mean: Small Samples

Testing a Claim about a Proportion

Testing a Claim about a Standard Deviation or Variance

Inferences from Two Samples

Overview

Inferences about Two Means: Independent and Large Samples

Inferences about Two Means: Matched Pairs

Inferences about Two Proportions

Comparing Variation in Two Samples

Inferences about Two Means: Independent and Small Samples

Correlation and Regression

Overview

Correlation

Regression

Variation and Prediction Intervals

Multiple Regression

Modeling

Multinomial Experiments and Contingency Tables

Overview

Multinomial Experiments: Goodness-0f-Fit

Contingency Tables: Independence and Homogeneity

Analysis of Variance

Overview

One-Way ANOVA

Two-Way ANOVA

Nonparametric Statistics

Overview

Sign Test

Wilcoxon Signed-Ranks Test for Matched Pairs

Wilcoxon Rank-Sum Test for Two Independent Samples

Kruskal-Wallis Test

Rank Correlation

Runs Test for Randomness

Statistical Process Control

Overview

Control Charts for Variation and Mean

Control Charts for Attributes

Projects, Procedures, Perspectives

Projects

Procedure

Perspective

Appendices

Tables

Data Sets

TI-83 Plus Reference

Glossary

Bibliography

Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)

Credits

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