# Intro. to Stats. & Data Analysis, Updated Media Ed. (w/StatisticsNOW?, InfoTrac 2-Sem., Pers. Tutor, iLrn? Homework Student Version, Internet Companion 2-Sem. PAC) / Edition 2

ISBN-10: 0495109665

ISBN-13: 9780495109662

Pub. Date: 12/22/2005

Publisher: Cengage Learning

Everything you need to understand statistics and data analysis is here! With its technology resources, the Media Edition of INTRODUCTION TO STATISTICS AND DATA ANALYSIS gives you the tools you need to chart your own path to success--and even suggests a course of study suited to your unique needs. The authors' easy-to-understand and modern approach guides you…  See more details below

## Overview

Everything you need to understand statistics and data analysis is here! With its technology resources, the Media Edition of INTRODUCTION TO STATISTICS AND DATA ANALYSIS gives you the tools you need to chart your own path to success--and even suggests a course of study suited to your unique needs. The authors' easy-to-understand and modern approach guides you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation helps you grasp concepts, while hands-on activities and "Seeing Statistics" applets allow you practice statistics firsthand. Going beyond the text, this Media Edition includes everything you need to get the grade you want, including access to a personalized online learning study plan (CengageNOW) as well as to live, online tutoring through Personal Tutor with SMARTHINKING.

## Product Details

ISBN-13:
9780495109662
Publisher:
Cengage Learning
Publication date:
12/22/2005
Edition description:
Older Edition
Pages:
863
Product dimensions:
8.10(w) x 10.10(h) x 1.40(d)

1. THE ROLE OF STATISTICS. Three Reasons to Study Statistics. The Nature and Role of Variability. Statistics and Data Analysis. Types of Data and Simple Graphical Displays. Chapter Activities. Supplementary Exercises. 2.THE DATA ANALYSIS PROCESS AND COLLECTING DATA SENSIBILY. The Data Analysis Process. Sampling. Statistical Studies: Observation and Experimentation. Simple Comparative Experiments. More on Experimental Design. More on Observational Studies: Designing Surveys (Optional). Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 3. 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 Bi-variate Numerical Data. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 4.NUMERICAL METHODS FOR DESCRIBING DATA. Describing the Center of a Data Set. Describing the Variability in a Data Set. Summarizing a Data Set: Boxplots. Interpreting Center and Variability: Chevyshevs Rule, the Empirical Rule, and z Scores. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 5.SUMMARIZING BIVARIATE DATA. Correlation. Linear Regression: Fitting a Line to Bi-variate Data. Assessing the Fit of a Line. Nonlinear Relationships and Transformations. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 6. PROBABILITY. Chance Experiments and Events. The Definition of Probability. Basic Properties of Probability. Conditional Probability. Independence. Some General Probability Rules. Estimating Probabilities Empirically and Using Simulation. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 7. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS. Random Variables. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables. The Mean and Standard Deviation of a Random Variable. The Binomial and Geometric Distributions. The Normal Distribution. Checking for Normality and Normalizing Transformations. Using the Normal Distribution to Approximate a Discrete Distribution. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 8.SAMPLING VARIABILITY AND SAMPLING DISTRIBUTIONS. Statistics and Sampling Variability. The Sampling Distribution of a Sample Mean. The Sampling Distribution of a Sample Proportion. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 9.ESTIMATION USING A SINGLE SAMPLE. Point Estimation. A Large-Sample Confidence Interval for a Population Proportion. A Confidence Interval for a Population Mean. Communicating and Interpreting the Results of a Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 10. HYPOTHESIS TESTING USING A SINGLE SAMPLE. Hypotheses and Test Procedures. Errors in Hypothesis Testing. Large-Sample Hypothesis Tests for a Population Proportion. Hypothesis Tests for a Population Mean. Power and the Probability of Type II Error. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 11.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. Distribution-Free Procedures for Inferences Concerning a Difference Between Two Population or Treatment Means Using Independent Samples (Optional). Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 12. THE ANALYSIS OF CATEGORICAL DATA AND GOODNESS-OF-FIT TESTS. Chi-Square Tests for Univariate Categorical Data. Test for Homogeneity and Independence in a Two-Way Table. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 13. SIMPLE LINEAR REGRESSION AND CORRELATION: INFERENTIAL METHODS. The Simple Linear Regression Model. Inferences Concerning the Slope of the Population Regression Line. Checking Model Adequacy. Inferences Based on the Estimated Regression Line. Inferences About the Population Correlation Coefficient (Optional). Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. 14. MULTIPLE REGRESSION ANALYSIS. Multiple Regression Models. Fitting a Model and Assessing Its Utility. Inferences Based on an Estimated Model. Other Issues in Multiple Regression. Communicating and Interpreting the Results of Statistical Analyses. Chapter Activities. Supplementary Exercises. 15. THE ANALYSIS OF VARIANCE. Single-Factor ANOVA and the F Test. Multiple Comparisons. The F Test for a Randomized Block Experiment. Two-Factor ANOVA. Communicating and Interpreting the Results of Statistical Analyses. Appendix: ANOVA Computations. Chapter Activities. Supplementary Exercises. Graphing Calculator Explorations. APPENDIX: STATISTICAL TABLES. ANSWERS TO SELECTED ODD NUMBERED EXERCISES. INDEX.