Sold Out
Book Categories |
1. The Purpose of Statistical Data Analysis
The Overall Goal of Statistical Data Analysis Variables
2. Graphical and Numerical Descriptions of Data
Displaying Data as Distributions of Frequencies Numerical Descriptions of Frequency Distributions Linear Transformations of Scale and z-Scores
3. Modeling Data and the Estimation of Parameters
Imperfect Predictions, Models, and Residuals Estimating the Parameters of a Model Fitting Models with Categorical Predictor Variables
4. Probabilities Distributions
The Law of Large Numbers and the Meaning of Probability Discrete Probability Distributions The Central Limit Theorem and the Normal Distribution Obtaining Probabilities for Normally Distributed Variables The Normal Distribution as a Model for Residuals
5. Sampling Distributions and Interval Estimation
The Sampling Distribution of the Mean Calculating Confidence Intervals Interpreting Confidence Intervals
6. Experiments with Two Independent Groups
Independent Groups Design Analyzing Data from Independent Group Designs with Two Treatments Deciding Between Models Using the t-distribution Directly Decision Error Rates: The Neyman-Pearson Tradition Overview and Evaluation
7. Larger Experiments with Independent Groups--Analysis of Variance
Models for Experiments With More Than Two Conditions Evaluating the Null Model: Analysis of Variance The Analysis of Variance of Factorial Designs
8. Increasing the Precision of an Experiment
Choosing an Appropriate Value of n in Two-Condition Experiments Reducing Residuals by Using Matched Pairs Matching and Within-Subjects Designs with More than Two Conditions
9. Experiments with Quantitative Predictor and Response Variables--Simple Linear Regression Examples
The Linear Model (Review)
Making Predictions Correlation Assumptions and Factors Influencing Correlation and Regression
10. Analyzing Data From Studies With Categorical Predictor and Response
Variables (Count Data)
Models for Proportions Testing Goodness of Fit Testing Independence in Two-Way Tables
11. Review
An Overview of Statistical Data Analysis Extensions
Appendixes
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish ListX
This item is in your CollectionIntroduction to Statistics and Data Analysis: For the Behavioral Sciences
X
This Item is in Your InventoryIntroduction to Statistics and Data Analysis: For the Behavioral Sciences
X
You must be logged in to review the productsX
X
X
Add Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In Introduction to Statistics and Data Analysis, Bob Lockhart emphasizes the link between statistical techniques and scientific discovery by focusing on evaluation and comparison of models. It is an intuitive view of statistics that views all metho, Introduction to Statistics and Data Analysis: For the Behavioral Sciences to the inventory that you are selling on WonderClubX
X
Add Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In Introduction to Statistics and Data Analysis, Bob Lockhart emphasizes the link between statistical techniques and scientific discovery by focusing on evaluation and comparison of models. It is an intuitive view of statistics that views all metho, Introduction to Statistics and Data Analysis: For the Behavioral Sciences to your collection on WonderClub |