Subjects

Below you see all the subjects currently available in I Hate Statistics. Do you want to add your own subjects? This is possible with our user friendly editor.

Introduction

  • Variables
  • Measurement Levels
  • Frequency Table
  • Absolute versus Relative figures

Descriptive Statistics

  • Mode
  • Symbols
  • Mean
  • Median
  • Range
  • Quartiles
  • Standard Deviation
  • Standard Deviation of a Sample
  • Coefficient of Variation

Graphs & Charts

  • Bar Graph
  • Histogram
  • Pie Diagram
  • Line Graph
  • Boxplot
  • Scatterplot
  • Clustered Bar Graphs
  • Crosstabulations
  • When to choose which visualisation

Inferential Statistics

  • Population and Sample
  • Sampling Variation
  • Sampling Distributions
  • The Three Distributions
  • Standard Error
  • Normal Distribution
  • Central Limit Theorem

Statistical Estimation

  • Point versus Interval estimates
  • Confidence Intervals (conceptual)
  • Student's t-distribution (conceptual)
  • t-distribution

Hypothesis Testing

  • Hypothesis testing (conceptual)
  • Hypothesis testing
  • Type-I, Type-II errors
  • P-value
  • p-value and calculations
  • Power
  • Choosing a suitable statistical test

Statistical Testing

  • t-test 1 sample
  • t-test 2 samples
  • t-test 2 samples: equal variances
  • t-test 2 samples: unequal variances
  • t-test 2 samples: paired samples
  • F-test
  • F-table
  • ANOVA
  • ANOVA calculations

Z-score

  • Normal distribution
  • Z-score
  • Probabillity to value
  • Value to probabillity
  • Z-table

Z-test

  • From Z-score to Z-test
  • Z-test
  • Calculate Confidence Intervals using the Z-test

Relations (interval/ratio)

  • Relations
  • Covariance
  • Pearson's r
  • Correlation versus Causation
  • Testing Pearson's r

Relations (nominal/ordinal)

  • Chi-Squared GOF
  • Chi-Squared Independence
  • Cramer's V

Regression

  • Linear Regression
  • Regression equation
  • Testing regression coefficients
  • Regression confidence interval
  • Regression confidence interval

SPSS

  • Intro to SPSS
  • First visualisation in SPSS
  • Manual data entry in SPSS
  • Importing data in SPSS
  • More visualisations in SPSS
  • Frequency tables in SPSS
  • Descriptive Statistics in SPSS
  • Chi-squared test in SPSS
  • Coding in SPSS
  • Recoding in SPSS

Research methods

  • Research Cycle
  • Phase 1: Problem analysis
  • Phase 2: Research Design
  • Phase 5: Reporting
  • Validity and reliability
  • Coding and the codebook
  • When to choose which visualisation?

Evidential Statistics

  • Effect Size
  • Cohen's d
  • Forest Plot

Clinical Measures

  • Minimal Detectable Change (MDC)
  • Minimal Clinically Important Difference (MCID)
  • Odds Ratio

Probability

  • Probability trees
  • Conditional probability
  • Take with/without replacement
  • Expected value
  • Rules for repetition

Other

  • Kolmogorov-Smirnov test
  • Determining sample sizes
  • Difference between prediction and confidence intervals

Probability Basics

  • Conceptual understanding of random variables
  • Conceptual understanding of probabilities
  • Conceptual understanding of sample space
  • Conceptual understanding of (probability) distributions
  • Conceptual understanding of Discrete vs continuous distributions
  • Conceptual understanding of Probability density function and Cumulative density function

Probability Calculations & Rules

  • Conceptual understanding of marginal probabilities
  • Conceptual understanding of joint probabilities
  • Conceptual understanding of conditional probabilities
  • Notation of probabilities
  • Conceptual understanding of dependent and independent events
  • Conceptual understanding of probability rules
  • Computing probabilities using probability rules

Counting and Expected Values

  • Conceptual understanding of Expected Values
  • Computing Expected Values
  • Conceptual understanding of Combinations
  • Conceptual understanding of Permutations
  • Computing Permutations
  • Computing Combinations

Normal Distribution

  • Conceptual understanding of Normal distribution
  • Notation of Normal distribution and parameters
  • Conceptual understanding of Standard Normal distribution
  • Conceptual understanding of Central Limit Theorem
  • Conceptual understanding of combining of several normally distributed variables
  • Computing parameters of combined normally distributed variables

Binomial distribution

  • Conceptual understanding of Binomial distribution
  • Notation of Binomial distribution and parameters
  • Notation of probability density and cumulative density
  • Conceptual understanding of properties of Binomial distributions
  • Computing with Binomial distributions

Poisson Distribution

  • Conceptual understanding of Poisson distribution
  • Notation of Poisson distribution and parameters
  • Properties of the Poisson distribution
  • Computing with Poisson distributions