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Straightforward Statistics with Excel - Chieh-Chen Bowen

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        Avis sur Straightforward Statistics With Excel de Chieh - Chen Bowen Format Broché  - Livre Science humaines et sociales, Lettres

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        Présentation Straightforward Statistics With Excel de Chieh - Chen Bowen Format Broché

         - Livre Science humaines et sociales, Lettres

        Livre Science humaines et sociales, Lettres - Chieh-Chen Bowen - 01/10/2021 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Chieh-Chen Bowen
      • Editeur : Sage Publications
      • Langue : Anglais
      • Parution : 01/10/2021
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 520
      • Expédition : 936
      • Dimensions : 18.7 x 23.1 x 2.8
      • ISBN : 1544361963



      • Résumé :
        Preface
        Acknowledgments
        About the Author
        Chapter 1. Introduction to Statistics
        What Is Statistics?
        Random Sampling Methods
        Scales of Measurement
        Variable Classifications
        Required Mathematical Skills for This Course
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 2. Summarizing, Organizing Data, and Measures of Central Tendency
        What You Know and What Is New
        Frequency Distribution Table
        Graphs
        Common Distribution Shapes
        Measures of Central Tendency
        Excel Step-by-Step Instruction for Calculating SX From a Frequency Table and Constructing a Bar Graph and a Histogram
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 3. Measures of Variability
        What You Know and What Is New
        Measures of Variability
        Discover the Hidden Functions in Excel: Analysis Toolpak Installation Instructions
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 4. Standard Z Scores
        What You Know
        What Is New
        Standard Z Scores
        Empirical Rule for Variables With a Normal Distribution
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 5. Basic Principles of Probability
        What You Know and What Is New
        Basic Terms and Mathematical Operations in Probability
        Linkage Between Probability and Z Score in a Normal Distribution
        Probabilities, Z Scores, and Raw Scores
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 6. The Central Limit Theorem
        What You Know and What Is New
        Sampling Error
        Sampling Distribution of the Sample Means and the Central Limit Theorem
        Relationships Between Sample Means and the Population Mean
        The Law of Large Numbers
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 7. Hypothesis Testing
        What You Know and What Is New
        Type I Error and Type II Error
        The Four-Step Procedure to Conduct a Hypothesis Test
        Further Discussions on Directional Versus Nondirectional Hypothesis Tests
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 8. One-Sample t Test and Dependent-Sample t Test
        What You Know and What Is New
        The Unknown s and Conducting the One-Sample t Test
        The t Distribution With a Specific Curve for Every Degree of Freedom
        The Four-Step Hypothesis Test in One-Sample t Tests
        Confidence Intervals in One-Sample t Tests
        Introducing Dependent-Sample t Tests
        Calculations and the Hypothesis Testing Process in Dependent-Sample t Tests
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 9. Independent-Samples t Tests
        What You Know and What Is New
        Introducing Independent Samples and the Decision Rules on Equal Variances
        Decision Rules for Equal Variances Assumed Versus Equal Variances Not Assumed
        Confidence Intervals of the Mean Differences
        Effect Sizes
        Exercise Problems
        Chapter Resources
        What You Learned
        Key Words
        Learning Assessment
        Chapter 10. Correlation
        What You Know and What Is New
        Pearson's Correlation
        Hypothesis Testing for Pearson's Correlation
        Interpretations and Assumptions of Pearson's Correlation
        Partial Correlation
        Excel Step-by-Step Instruction for Constructing a Scatterplot
        Excel Step-by-Step Instruction for Calculating Pearson's ...

        Biographie:

        Chieh-Chen Bowen is an Associate Professor in the Department of Psychology at Cleveland State University. She received her Ph.D. in Industrial and Organizational Psychology and a doctoral minor in Statistics from Penn State. She teaches?undergraduate and graduate level Statistics, Personnel Psychology, Job Analysis, and Performance Management. Her research interests are comparing cross-cultural management practices, investigating women's issues in the workplace, and validating personality questionnaires for employee selection. When she is not teaching or doing research, she can be found providing expert witness consulting services to attorneys who are involved in employment discrimination cases. On her days off, she works on figuring out the probability of a black-and-white cat selectively shedding only white fur on navy blue carpet?while shedding only black fur on white ceramic tiles.

        ...

        Sommaire:

        Chieh-Chen Bowen is an Associate Professor in the Department of Psychology at Cleveland State University. She received her Ph.D. in Industrial and Organizational Psychology and a doctoral minor in Statistics from Penn State. She teaches?undergraduate and graduate level Statistics, Personnel Psychology, Job Analysis, and Performance Management. Her research interests are comparing cross-cultural management practices, investigating women's issues in the workplace, and validating personality questionnaires for employee selection. When she is not teaching or doing research, she can be found providing expert witness consulting services to attorneys who are involved in employment discrimination cases. On her days off, she works on figuring out the probability of a black-and-white cat selectively shedding only white fur on navy blue carpet?while shedding only black fur on white ceramic tiles.

        ...

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