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A Computerised Approach of Statistical Inference


Affiliations
1 Mathematics & Computer Science Department, Delta State University, Abraka, Nigeria
 

Computers are changing our language, our habits, our environment and generally our world. Solving mathematics is more interesting when it is carried out via a computer. So also is statistics which can be broadly classified into descriptive and inferential classes. Statistical inference varies when a sample data that is a subject of the population is well used to make statements about a population. This research is focused on the development of a software program to solve problems on hypothesis testing of population mean and population variance. It showed that solving statistical inference is easier, interactive and interesting when it’s carried out in a computerized system.

Keywords

Statistical Inference, Hardware, Software, Hypothesis Testing, Population Mean, Population Variance.
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  • A Computerised Approach of Statistical Inference

Abstract Views: 329  |  PDF Views: 0

Authors

Akazue Maureen
Mathematics & Computer Science Department, Delta State University, Abraka, Nigeria
Ojeme Blessing
Mathematics & Computer Science Department, Delta State University, Abraka, Nigeria
Daniel Anidibia
Mathematics & Computer Science Department, Delta State University, Abraka, Nigeria

Abstract


Computers are changing our language, our habits, our environment and generally our world. Solving mathematics is more interesting when it is carried out via a computer. So also is statistics which can be broadly classified into descriptive and inferential classes. Statistical inference varies when a sample data that is a subject of the population is well used to make statements about a population. This research is focused on the development of a software program to solve problems on hypothesis testing of population mean and population variance. It showed that solving statistical inference is easier, interactive and interesting when it’s carried out in a computerized system.

Keywords


Statistical Inference, Hardware, Software, Hypothesis Testing, Population Mean, Population Variance.