Title:
Statistics : exploration and analysis of data
Personal Author:
Edition:
7th ed.
Publication Information:
New York : Cengage Learning, 2012
Physical Description:
xx, 788 p. : ill. (some col.) ; 29 cm.
ISBN:
9780840058010
Subject Term:
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010316672 | QA276 D47 2012 f | Open Access Book | Book | Searching... |
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Summary
Summary
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.
Table of Contents
| Analysis of Data |
| 1 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 |
| 2 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 |
| 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 Bivariate Numerical Data |
| Interpreting and Communicating the Results of Statistical Analyses |
| 4 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 |
| 5 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 |
| 6 Probability |
| Interpreting Probabilities and Basic Probability Rules |
| Probability as a Basis for Making Decisions |
| Estimating Probabilities Empirically and by Using Simulation |
| 7 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 |
| 8 Sampling Variability And Sampling Distribution |
| Statistics and Sampling Variability |
| The Sampling Distribution of a Sample Mean |
| The Sampling Distribution of a Sample Proportion |
| 9 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 |
| 10 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 |
| 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 |
| Interpreting and Communicating the Results of Statistical Analyses |
| 12 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 |
| 13 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 |
| 14 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) |
| 15 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) |
| 16 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 |
