## Primary Data and Secondary Data

There are two major approaches to gathering information about a situation, person, problem or phenomenon. When you undertake a research study, in most situations, you need to collect the required … Read more

## Quantitative vs Qualitative Data- Definition, 13 Differences, Examples

Quantitative and Qualitative Data Definition Qualitative data is data concerned with descriptions, which can be observed but cannot be computed. On the contrary, quantitative data is the one that focuses on numbers … Read more

## Independent vs Dependent variables- Definition, 10 Differences, Examples

Independent Variables The Independent variable is a type of variable used in experimental sciences, statistical modeling, and mathematical modeling which doesn’t depend on any other variables in the scope of … Read more

## Types of Bias in Epidemiology

Any trend in the collection, analysis, interpretation, publication, or review of data that can lead to conclusions that are systematically different from the truth can be termed as bias. Bias … Read more

## Z-test- definition, formula, examples, uses, z-test vs t-test

z-test definition z-test is a statistical tool used for the comparison or determination of the significance of several statistical measures, particularly the mean in a sample from a normally distributed … Read more

## P-value- definition, formula, table, finding p-value, significance

p-value definition The p-value or the calculated probability is the best probability to provide the smallest level of significance at which the null hypothesis is not true. It is the … Read more

## ANOVA- definition, one-way, two-way, table, examples, uses

ANOVA Definition ANOVA (Analysis of Variance) is a statistical tool to test the homogeneity of different groups based on their differences. ANOVA is the method of analyzing the variance in … Read more

## Type I Error and Type II Error- Definition, 10 Differences, Examples

Image Source: AB Tasty. Type 1 error definition Type 1 error, in statistical hypothesis testing, is the error caused by rejecting a null hypothesis when it is true. Type 1 … Read more