Machine generated contents note:
Using statistics in psychology research
Summarising data using the frequency distribution
Summarising data using measures of central tendency
Summarising data using measures of variability
Standardised scores, normal distribution and probability
Using the t-test to measure the difference between independent groups
Interpreting the results of a statistical test
Using non-parametric tests to measure the difference between independent groups
Using the t-test to measure change in related samples
Using non-parametric tests to measure change in related samples
Improving predictions through the Pearson correlation coefficient
Improving predictions through non-parametric tests: The Spearman rank correlation and the chi-square test for independence
Using analysis of variance (ANOVA) to compare more than two conditions
Post-hoc tests in ANOVA and multiple regression analysis.
