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Types of statistical tests

23.04.23 Types of statistical tes... Time to read: 7min

Simple Linear Regression – How To Use It

Simple linear regression is a key modelling method in statistics that represents the relationship between a dependent and independent variable. The regression shows the...

02.04.23 Types of chi-square Time to read: 9min

Chi Square Test Of Independence – Guide & Examples

The chi-square test of independence is a statistical test used to determine whether two categorical variables are associated or independent. A way to assess...

22.03.23 Types of ANOVAs Time to read: 5min

One-Way ANOVA – When and How to Use It with Examples

ANOVA, which stands for Analysis of Variance, is a statistical test used in statistics to discern and evaluate the variations in the average values...

18.03.23 Types of chi-square Time to read: 5min

Chi-Square Tests (X²) – Types And Examples

Chi-square tests are a foundation stone within statistics. Their purpose is to assess connections between categorical variables by comparing actually observed data with the...

26.02.23 Types of statistical tes... Time to read: 5min

Multiple Linear Regression – Definition and Calculations

Several independent variables are always connected to the dependent variable (y) of concern. If this correlation can be calculated, it could allow us to...

09.02.23 Effect size Time to read: 5min

Coefficient of Determination (R²) — Definition & Interpretation

The coefficient of determination (R²) is a statistical measure that shows the proportion of variation in a dependent variable explained by an independent variable....

14.01.23 Hypothesis testing assum... Time to read: 5min

Skewness – Definition, Types & How To Calculate It

Skewness, a fundamental term in the realm of statistics, serves as a crucial measure of the asymmetry of a probability distribution. It provides significant...

29.12.22 Correlation Time to read: 5min

The Correlation Coefficient – Meaning & Calculations

The correlation coefficient is a statistical measure that quantifies the degree to which two variables are related to each other. It is a key...

30.11.22 Correlation Time to read: 5min

Pearson Correlation Coefficient – Guide & Examples

The best and most common method for measuring a linear correlation is calculating the Pearson correlation coefficient. This approach in statistics provides a significant...

28.11.22 Effect size Time to read: 7min

Effect Size – Explanation, Significance & Examples

Any quantitative academic study or experiment, which involves a comparison between two or more variables, requires a means of determining how substantially different these...

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