Statistics : The Exploration and Analysis of Data
ISBN: 9780840058010 | 0840058012
Edition: 7thFormat: Hardcover
Publisher: Cengage Learning
Pub. Date: 1/1/2011
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STATISTICS: THE EXPLORATION AND ANALYSIS OF DATA, 7th 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.
| Analysis of Data | |
| 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 | |
| ... MORE | |
| 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 | |
| Interpreting Probabilities and Basic Probability Rules | |
| Probability as a Basis for Making Decisions | |
| Estimating Probabilities Empirically and by Using Simulation | |
| Random Variables And Probability Distributions | |
| Describing the Distribution of Values in a Population | |
| Population Models for Continuous Numerical Variables | |
| Normal Distributions | |
| Checking for Normality and Normalizing Transformations | |
| 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) | |
| 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 | |
| Table of Contents provided by Publisher. All Rights Reserved. |
