Introduction to Statistics and Data Analysis

by Peck, Roxy; Olsen, Chris; Devore, Jay L.

• ISBN13: 9780840054906
• ISBN10: 0840054904
• Additional ISBN(s): 9780495118732, 9780495118787, 9780495557838, 9781305115347
• Edition: 4th
• Format: Hardcover
• Copyright: 2011-01-01
• Publisher: Duxbury Press
• More Book Details

Summary

INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 4th Edition, introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension. You'll also find coverage of the graphing calculator as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics firsthand.

Table of Contents

The Role Of Statistics And The Data Analysis Process

Why Study Statistics

The Nature and Role of Variability

Statistics and the Data Analysis Process

Types of Data and Some Simple Graphical Displays

Collecting Data Sensibly

Statistical Studies: Observation and Experimentation

Sampling

Simple Comparative Experiments

More on Experimental Design

More on Observational Studies: Designing Surveys (Optional)

Interpreting and Communicating the Results of Statistical Analyses

Graphical Methods For Describing Data

Displaying Categorical Data: Comparative Bar Charts and Pie Charts

Displaying Numerical Data: Stem-and-Leaf Displays

Displaying Numerical Data: Frequency Distributions and Histograms

Displaying Bivariate Numerical Data

Interpreting and Communicating the Results of Statistical Analyses

Numerical Methods For Describing Data

Describing the Center of a Data Set

Describing Variability in a Data Set

Summarizing a Data Set: Boxplots

Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores

Interpreting and Communicating the Results of Statistical Analyses

Summarizing Bivariate Data

Correlation

Linear Regression: Fitting a Line to Bivariate Data

Assessing the Fit of a Line

Nonlinear Relationships and Transformations

Logistic Regression (Optional)

Interpreting and Communicating the Results of Statistical Analyses

Probability

Chance Experiments and Events

Definition of Probability

Basic Properties of Probability

Conditional Probability

Independence

Some General Probability Rules

Estimating Probabilities Empirically Using Simulation

Random Variables And Probability Distributions

Random Variables

Probability Distributions for Discrete Random Variables

Probability Distributions for Continuous Random Variables

Mean and Standard Deviation of a Random Variable

Binomial and Geometric Distributions

Normal Distributions

Checking for Normality and Normalizing Transformations

Using the Normal Distribution to Approximate a Discrete Distribution

Sampling Variability And Sampling Distribution

Statistics and Sampling Variability

The Sampling Distribution of a Sample Mean

The Sampling Distribution of a Sample Proportion

Estimation Using A Single Sample

Point Estimation

Large-Sample Confidence Interval for a Population Proportion

Confidence Interval for a Population Mean

Interpreting and Communicating the Results of Statistical Analyses

Hypothesis Testing Using A Single Sample

Hypotheses and Test Procedures

Errors in Hypotheses Testing

Large-Sample Hypothesis Tests for a Population Proportion

Hypotheses Tests for a Population Mean

Power and Probability of Type II Error

Interpreting and Communicating the Results of Statistical Analyses

Comparing Two Populations Or Treatments

Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples

Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples

Large Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions

Interpreting and Communicating the Results of Statistical Analyses

The Analysis Of Categorical Data And Goodness-Of-Fit Tests

Chi-Square Tests for Univariate Data

Tests for Homogeneity and Independence in a Two-way Table

Interpreting and Communicating the Results of Statistical Analyses

Simple Linear Regression And Correlation: Inferential Methods

Simple Linear Regression Model

Inferences About the Slope of the Population Regression Line

Checking Model Adequacy

Inferences Based on the Estimated Regression Line (Optional)

Inferences About the Population Correlation Coefficient (Optional)

Interpreting and Communicating the Results of Statistical Analyses

Multiple Regression Analysis

Multiple Regression Models

Fitting a Model and Assessing Its Utility

Inferences Based on an Estimated Model (online)

Other Issues in Multiple Regression (online)

Interpreting and Communicating the Results of Statistical Analyses (online)

Activity 14.1: Exploring the Relationship Between Number of Predictors and Sample Size

Analysis Of Variance

Single-Factor ANOVA and the F TeSt. Multiple Comparisons

The F Test for a Randomized Block Experiment (online)

Two-Factor ANOVA (online)

Interpreting and Communicating the Results of Statistical Analyses (online)

Nonparametric (Distribution-Free Statistical Methods (Online)

Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples (Optional)

Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples

Distribution-Free ANOVA

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