Statistical methods of data analysis in quantitative research

How to do statistical analysis in quantitative research?

Two main statistical methods are used in data analysis: descriptive statistics, which summarizes data using indexes such as mean and median and another is inferential statistics, which draw conclusions from data using statistical tests such as student's t-test..

Quantitative research parts

Statistical treatment of data involves the use of statistical methods such as:

Quantitative research parts

The most well known Statistical tools are the mean, the arithmetical average of numbers, median and mode, Range, dispersion , standard deviation, inter quartile range, coefficient of variation, etc..

What are quantitative research methods in statistics?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables.
These types of design are very similar to true experiments, but with some key differences..

What are the statistical methods for data analysis?

Statistical treatment of data involves the use of statistical methods such as:

What are the statistical treatments to analyze quantitative data?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables.
These types of design are very similar to true experiments, but with some key differences..

What methods can be used to Analyse quantitative data?

As can be deduced from the statement above, there are two main commonly used quantitative data analysis methods namely the descriptive statistics used to explain certain phenomena and inferential statistics used to make predictions.
Both methods are used in different ways having techniques unique to them._{Oct 5, 2023}.