stats101
0.1

Contents:

  • Introduction
    • Inferring from a sample
    • Types of samples
    • Description and inference
    • Units of observation
  • Data sources
    • Software
    • Data structure
    • Tutorial data
  • Levels of measurement
    • Nominal
    • Ordinal
    • Interval
    • Ratio
      • Discrete and continuous data
  • Central tendency
    • Mode
    • Median
    • Mean
  • Measures of spread
    • Range
    • Inter–quartile range
    • Variance
    • Standard deviation
  • Standard error and confidence intervals
    • Comparing means and confidence intervals
  • Normal distribution
    • Skewness
    • Kurtosis
  • Hypothesis testing
    • Null hypothesis
    • Errors interpreting the results
    • Directional tests
  • Chi–squared test
    • Test statistic
    • Degrees of freedom
    • p value
    • Assumptions
    • Odds ratio
  • Correlation
    • Pearson’s correlation coefficient, \(r\)
      • Assumptions
    • Spearman’s \(\rho\)
    • Kendall’s \(\tau\)
  • Comparing two independent groups
    • \(t\)–test
      • Assumptions
    • Mann–Whitney U
    • Dependent groups
  • Comparing three or more means
    • Example
    • Assumptions
    • Equality of variance
    • ANOVA
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© Copyright 2018, Phil Mike Jones

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