Authors :
SANUSI MAMMAN; MADUAGWU, K. LILIAN; OMORODION, E. EMMANUEL
Volume/Issue :
Volume 7 - 2022, Issue 10 - October
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3VXNylb
DOI :
https://doi.org/10.5281/zenodo.7450402
Abstract :
:- There is growing concern on different type of
analyzing research hypothesis that is carried out in whole
spectrum of knowledge and many of the researchers fail to
understand the right tool for testing the hypothesis and this
leads to poor data analysis and wrong inferences. Testing
hypothesis in research is the basic ingredient of all
research activities and if done correctly, suitable
inferences were made which lead to concrete and accurate
findings that can be used for products or services
development or improvement, or policy formulation.
Hence, this paper discusses the different types of
inferential statistics which include both parametric and
non-parametric and also the condition of applying any
type of inferential statistics by researchers. In the process,
the paper divides parametric and non-parametric
inferential statistics in to relational and differential. The
paper also outlines the conditions for using each type
inferential statistics and procedures for making inferences.
The paper concludes with an emphasis for librarians and
other researchers in the body of knowledge to up skill and
retools themselves in order to enhance their skills,
knowledge of research and attain better strategies on how
to advance the frontiers of knowledge, working
environments and other sectors in a 21st century.
Keywords :
Application, Inferential Statistics, Testing Hypothesis, Correlation, Regression, Regression Analysis
:- There is growing concern on different type of
analyzing research hypothesis that is carried out in whole
spectrum of knowledge and many of the researchers fail to
understand the right tool for testing the hypothesis and this
leads to poor data analysis and wrong inferences. Testing
hypothesis in research is the basic ingredient of all
research activities and if done correctly, suitable
inferences were made which lead to concrete and accurate
findings that can be used for products or services
development or improvement, or policy formulation.
Hence, this paper discusses the different types of
inferential statistics which include both parametric and
non-parametric and also the condition of applying any
type of inferential statistics by researchers. In the process,
the paper divides parametric and non-parametric
inferential statistics in to relational and differential. The
paper also outlines the conditions for using each type
inferential statistics and procedures for making inferences.
The paper concludes with an emphasis for librarians and
other researchers in the body of knowledge to up skill and
retools themselves in order to enhance their skills,
knowledge of research and attain better strategies on how
to advance the frontiers of knowledge, working
environments and other sectors in a 21st century.
Keywords :
Application, Inferential Statistics, Testing Hypothesis, Correlation, Regression, Regression Analysis
