Statistical Analysis

By Dr. Muhammad Yousuf Ali

This small piece of writing describe about the statistical analysis value in the research and what are the different types statistical analysis use in the research. In research it is impossible to reach the large population due to this some statistical analysis apply to in small sample and results can be generalized or apply the whole population. this article we explore four important point about the statistical analysis.

What is statistical Analysis?

What are the Types of Statistical Analysis?

What are the popular software to use Statistical Analysis?

What are the importance of Statistical Analysis ?

What is statistical Analysis?

Statistical analysis is the process of collecting large volumes of data and then using statistics and other data analysis techniques to identify trends, patterns, and insights.

What are the Types of Statistical Analysis?

Two main statistical methods are used in data analysis:-

1. Descriptive Statistics

2. Inferential Statistics

1 Descriptive Statistics

Descriptive statistics, which summarizes data using indexes such as mean, median, mode, percentage, Variance , Standard deviation and etc. and another is inferential statistics, which draw conclusions from data using statistical tests (Mishra et al. 2019).

2 Inferential Statistics

Inferential statistics is using sampled data to draw conclusions or make predictions, testing hypothesis from a larger data sample or population.

Inferential statistics allow researchers to assess whether patterns in research sample are likely to be present in research population by large. 

Inferential statistics Example

 Inferential statistical tests include t-tests, ANOVA, chi-square, correlation and regression.

What are the popular software to use Statistical Analysis?

The popular software use for statistical analysis are

1 SPSS Software

Statistical Package for the Social Sciences (SPSS), a license based software developed by IBM.

2 PSPP Software

PSPP is a free software use for analysis of statistical data calculation/test, intended as a free alternative for IBM SPSS. 

3. R Programming

R is a programming language for statistical computing and graphics representation

4. Jamovi

Jamovi (stylized in all lower-case as jamovi) is a free and open-source computer program for data analysis and performing statistical tests.

Besides these famous software there many other use for the statistical analysis like JASP, SOFA Statistics, SciPy – Python and etc.

What are the importance of Statistical Analysis ?

1. Statistical Analysis presents clear picture state of the any research questions or problem .

2. Statistical Analysis summary of the finding with facts and figure.

3. Statistical Analysis helps the researchers, policy makers to generalized the research implication in the entire population on the basis of specific sampling.

4. Statistical Analysis helps the business man and to know the market trends and build the market strategy accordingly.

5.  Public Sector, relies on statistical data to make correct decisions and future planning and need of the population like civic infrastructure, school, transport, hospitals and etc..

How to Cite this article

MY. , Ali (2023). Statistical Analysis. https://profileusuf.wordpress.com/statistical-analysis/

References :-

Mishra, P., Pandey, C. M., Singh, U., Keshri, A., & Sabaretnam, M. (2019). Selection of appropriate statistical methods for data analysis. Annals of cardiac anaesthesia, 22(3), 297.