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Statistics for psychology course

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Statistics: Scientific method · Research methods · Experimental design · Undergraduate statistics courses · Statistical tests · Game theory · Decision theory


This is just a possible outline imported from "[ http://en.wikibooks.org/wiki/Statistics]. Please tailor it to meet current requirements,and fill out the pages. Much of the material required eg Means modes etc has already been imported.

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

Outline

  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. Summary Statistics
    1. Range of the Data
    2. Quartiles
    3. Averages
      1. Mean, Median and Mode
      2. Geometric Mean
      3. Harmonic Mean
      4. Relationships among Arithmetic, Geometric and Harmonic Mean
      5. Moving Average
    4. Variance and Standard Deviation
  5. Displaying Data
    1. Bar Charts
    2. Histograms
    3. Scatter Plots
    4. Box Plots
    5. Pie Charts
    6. Comparative Pie Charts
    7. Pictograms
    8. Line Graphs
    9. Frequency Polygon
  6. Probability
    1. Introduction to Probability
    2. Bernoulli Trials
    3. Introductory Bayesian Analysis
  7. 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
  8. Testing Data
    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 Coefficient
    12. Pearson's Product Moment Correlation Coefficient
    13. Chi-Squared Tests
      1. Chi-Squared Test for multiple proportions
      2. Chi-Squared Test for Contingency
  9. Point Estimates
    1. Single Mean
    2. Difference of Two Means
    3. Single Proportion
    4. Difference of Two Proportions
  10. Practice Problems
    1. Summary Statistics Problems
    2. Data Display Problems
    3. Distributions Problems
    4. Data Testing Problems
  11. Numerical methods
    1. Basic Linear Algebra and Gram-Schmidt Orthogonalization
    2. Unconstrained Optimization

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