Statistics resources A-Z

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A

Analysis of covariance (ANCOVA)

Analysis of variance (ANOVA)

Association (Measures of)

Averages: mean, median, mode

B

Bar chart

Bayesian Statistics (Introduction)

Bias (in survey sampling)

Binomial distribution

Boxplots (Box-and-whisker plots)

C

Categorical data (definition)

Chi-squared distribution

Chi-squared test

Choosing the right test

Cochran's Q test

Cohen's D

Cohen's Kappa

Conditional probability (Using Tree Diagrams)

Conditional probability (Without Tree Diagrams)

Confidence intervals

     - introduction

     - for the mean

Contingency tables

Continuous data (definition)

Continuous probability distributions

Continuous Uniform Distribution

Correlation

    - Introduction

    - Different measures of correlation

    - Kendall's Tau

    - Partial Correlation

    - Peason's coefficient

    - Spearman's coefficient

Cronbach's Alpha

D

Data Collection Methods

Data display (general principles)

Data types

Dependent T-Tests

Diagnostic tests

Discrete probability distributions

E

Effect size

Equally likely outcomes

Errors: type 1 & 2

Excel

Experimental design

Exploratory data analysis

Exponential distribution

F

Factor analysis

Fleiss' Kappa

Fisher's exact test

Frequency Tables

Friedman test

G

Goodman and Kruskal's Gamma

Graphs (for Exploratory Data Analysis)

Graphs (Introduction)

Grouped data (finding averages)

H

Histograms

Hypergeometric distribution

Hypothesis Testing: principles

Hypothesis Tests: introductory tests

Hypothesis Tests: More Tests

Hypothesis Tests: How to choose

I

Independent Events (in Probability)

Independent T-tests

Interquartile range

J

Johnckheere-Terpstra test

K

Kaplan Meier

Kendall's Tau

Kendall's W

Kruskall Wallis test

L

Line graphs

Linear regression (simple)

Location (measures of)

Logistic regression

M

Mann-Whitney U test

MANOVA

Mantel-Haenszel test of trend

McNemar's test

Mean

Measures of Association

Median

Mixed ANOVA

Mode

Multiple linear regression (see regression)

Mutually Exclusive Events

N

Nominal Data (definition)

Normal distribution (introduction)

Normal distribution

Normality, testing for

O

Odds ratio

One-way ANOVA

Ordinal data (definition)

Ordinal logistic regression

Ordinary Least Squares (OLS) Regression - see Linear Regression

P

Paired versus unpaired data

Paired T-Tests

Pearson's Correlation Coefficient

Pearson's Partial Correlation

Pie charts

Poisson distribution

Post hoc tests (with ANOVA)

Power

Principal components analysis (PCA)

Probability distributions

Probability: equally likely events

Proportions, test of two

Q

Questionnaire design

R

R

Random variables (introduction)

Randomisation

Range

Regression

     - Hierarchical multiple regression

     - Logistic Regression

     - Multiple linear Regression

     - Ordinal Regression

     - Ordinary Least Squares (OLS): see multiple linear or simple linear regression

     - Simple Linear Regression

Reliability

Repeated Measures ANOVA

Relative Risk

S

Sample size calculations

Scatterplot

Set notation (for Probability)

Sign test

Simple linear regression

Skewness (introduction)

Somers' d

Spearman's Correlation Coefficient

Spread

    - Interquartile Range

    - Standard Deviation (introduction)

    - Standard Deviation and variance formulae

    - Range

    - Sample Variance

SPSS

Standard deviation: See Spread

Statistical Analysis Planning (SAP)

Structural Equation Modelling (SEM)

Study planning

Study types

Surveys/survey design

Survival analysis

T

Three-way ANOVA

T-tests: paired/dependent

T-tests: unpaired/independent

Transforming Data

Tree diagrams

Type I and II Errors

Types of data

Types of Study

Two proportions, test of

Two-way ANOVA

Two-way tables (contingency tables)

U

Uniform distribution

Unpaired T-tests

V

Variance - see spread

Venn diagrams (for Probability)

W

Weighted Kappa

Wilcoxon sign rank test