Statistics

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Welcome to the Wikibook of
Statistics
Probability
and Data Analysis

Statistics - Area of applied mathematics concerned with the data collection, analysis, interpretation and presentation.

Contents

[edit] Outline

A printable version of Statistics is available. (edit it)
  1. Introduction
    1. What Is Statistics?
    2. Subjects in Modern Statistics
    3. Why Should I Learn Statistics?
    4. What Do I need to Know to Learn Statistics?
  2. Different Types of Data
    1. Primary and Secondary Data
    2. Quantitative and Qualitative Data
  3. Methods of Data Collection
    1. Experiments
    2. Sample Surveys
    3. Observational Studies
  4. Data Analysis
    1. Data Cleaning
  5. Summary Statistics
    1. Measures of center
      1. Mean, Median, and Mode
      2. Geometric Mean
      3. Harmonic Mean
      4. Relationships among Arithmetic, Geometric, and Harmonic Mean
      5. Geometric Median
    2. Measures of dispersion
      1. Range of the Data
      2. Quartiles and Quartile Range
      3. Variance and Standard Deviation
    3. Other summaries
      1. Quantiles
      2. Moving Average
  6. Displaying Data
    1. Bar Charts
    2. Comparative Bar Charts
    3. Histograms
    4. Scatter Plots
    5. Box Plots
    6. Pie Charts
    7. Comparative Pie Charts
    8. Pictograms
    9. Line Graphs
    10. Frequency Polygon
  7. Probability
    1. Introduction to Probability
    2. Bernoulli Trials
    3. Introductory Bayesian Analysis
  8. Distributions
    1. Discrete Distributions
      1. Bernoulli Distribution
      2. Binomial Distribution
      3. Poisson Distribution
      4. Geometric Distribution
      5. Negative Binomial Distribution
    2. Continuous Distributions
      1. Uniform Distribution
      2. Exponential Distribution
      3. Gamma Distribution
      4. Normal Distribution
      5. Chi-Square Distribution
      6. Student-t Distribution
      7. F Distribution
      8. Weibull Distribution
  9. Testing Statistical Hypothesis
    1. Purpose of Statistical Tests
    2. Different Types of Tests
    3. z Test for a Single Mean
    4. z Test for Two Means
    5. t Test for a single mean
    6. t Test for Two Means
    7. One-Way ANOVA F Test
    8. z Test for a Single Proportion
    9. z Test for Two Proportions
    10. Testing whether Proportion A Is Greater than Proportion B in Microsoft Excel
    11. Spearman's Rank Coëfficient
    12. Pearson's Product Moment Correlation Coëfficient
    13. Chi-Squared Tests
      1. Chi-Squared Test for Multiple Proportions
      2. Chi-Squared Test for Contingency
    14. Approximations of distributions
  10. Point EstimatesDevelopment stage: 100% (as of 12:07, 28 March 2007 (UTC)) (12:07, 28 March 2007 (UTC))
    1. Unbiasedness
    2. Measures of goodness
    3. UMVUE
    4. Completeness
    5. Sufficiency and Minimal Sufficiency
    6. Ancillarity
  11. Practice Problems
    1. Summary Statistics Problems
    2. Data-Display Problems
    3. Distributions Problems
    4. Data-Testing Problems
  12. Numerical Methods
    1. Basic Linear Algebra and Gram-Schmidt Orthogonalization
    2. Unconstrained Optimization
    3. Quantile Regression
    4. Numerical Comparison of Statistical Software
    5. Numerics in Excel
    6. Statistics/Numerical_Methods/Random Number Generation
  13. Multivariate Data Analysis
    1. Principal Component Analysis
    2. Factor Analysis for metrical data
    3. Factor Analysis for ordinal data
    4. Canonical Correlation Analysis
    5. Discriminant Analysis
  14. Analysis of Specific Datasets
    1. Analysis of Tuberculosis - This page is currently under construction.

[edit] Appendix

  1. Authors

[edit] See also

[edit] External links

[edit] Note

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