What is included with this book?
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 | |
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 | |
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 | |
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