Statistics

Arithmetic average of a group of numbers

• Mean

• Medain

• Mode

• Range

Type of statistics that statisticians use to draw conclusions about the characteristics of a population from the characteristics of a sample

• Quantitative

• Qualitative

• Inferential

• Descriptive

Type of test used only if information about the whole population is available and the data is normally distributed, meaning, no data is too high or too low than the other data

• Descriptive

• Qualitative

• Parametric

• Non-parametric

Indicates the total amount of variability (differences between scores) in a data set by directly considering every observation

• Mean

• Range

• Standard deviation

• Variance

Nonparametric alternative to the t-test; it aims to compare similarities between two groups

• Chi-square

• Mann-Whitney Test

• Krustal-Wallis Test

Type of statistics which shows a summary of the current data set

• Quantitative

• Qualitative

• Inferential

• Descriptive

Tests difference between two or more groups under one category; only one variable is used to test two or more groups

• One-way ANOVA

• Two-Way ANOVA

• Independent T-test

• Dependent T-Test

Test that aims to measure the difference between what is expected and what is observed from two variables

• Goodness-of-fit Chi Square

• Independent Chi-Square

• Mann-Whitney Test

• Krustal Wallis Test

Type of inferential statistic used to determine if there is a significant difference between the means of two and not more than two groups, which may be related in certain features

• ANOVA

• Spearman Rank

• T-Test

• Pearson R correlation

Used when we want to predict the value of a variable based on the value of another variable

• Linear Regression

• ANOVA

• T-Test

• Correlation