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Introduction to Statistics and Data Analysis: For the Behavioral Sciences Book

Introduction to Statistics and Data Analysis: For the Behavioral Sciences
Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In <i>Introduction to Statistics and Data Analysis</i>, 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 has a rating of 3.5 stars
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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
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  • Introduction to Statistics and Data Analysis: For the Behavioral Sciences
  • Written by author Robert S. Lockhart
  • Published by Worth Publishers, Incorporated, December 1997
  • 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
  • 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
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Book Categories

Authors

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


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Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In <i>Introduction to Statistics and Data Analysis</i>, 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

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Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In <i>Introduction to Statistics and Data Analysis</i>, 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

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Introduction to Statistics and Data Analysis: For the Behavioral Sciences, In <i>Introduction to Statistics and Data Analysis</i>, 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

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