Statistics for LIS with Open Source R

Statistics for LIS with Open Source R

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  • Welcome
  • Inside the Book
    • i. INTRODUCTION TO STATISTICS
      • Let’s Begin
      • Chapter 1 Introduction
      • Chapter 2 Research Design
      • Chapter 3 Data (Types and Collection Methods)
      • Chapter 4 How to run R
    • ii. MAKING SENSE OF STATISTICS
      • More
        • Chapter 9: Sampling Distributions
        • Chapter 10: Confidence Interval Estimation
        • Chapter 11: Fundamentals of Hypothesis Testing
        • Chapter 12: Correlation and Regression
        • Chapter 13: Analysis of Variances and Chi-Square Tests
        • Chapter 14: Time Series and Predictive Analytics
      • Chapter 5 Descriptive statistics
      • Chapter 6: Bivariate Statistics
      • Chapter 7: Probability Theory
      • Chapter 8: Random Variables and Probability Distributions
    • iii. VISUALIZATION IN R
      • Chapter 15: Visualization Display
      • Chapter 16: Advanced Visualization Display
      • Chapter 17: Applying Visualization to Statistics Analysis
  • R Resources
    • R Resources – online console
    • R Resources links
  • Reviews
  • Order this Book
  • Author’s Bio
  • Contact

Figure-9.3

October 16, 2015 1500 × 1458 Chapter 9: Sampling Distributions
The Central Theorem example

The Central Theorem example

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A Primer for Using Open Source R Software for Accessibility and Visualization

Statistics for LIS

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