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Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 10 |
| Year of Publication: 2022 |
| Authors: Amit Shekhar, Sachin Patel |
10.5120/ijca2022921967
|
Amit Shekhar, Sachin Patel . Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions. International Journal of Computer Applications. 184, 10 ( Apr 2022), 1-4. DOI=10.5120/ijca2022921967
Abstract
The hypothesis word is built with two different words first is Hypo and second is thesis. These two are combined to make the word Hypothesis. The meaning of first word is uncertain or question to the verification. The meaning of the second word is declaration about answer of a problem. A hypothesis should be specific and are testable so that the prediction can be done and we can expect it to happen in the study. To complete analysis of hypothesis there are three most important components first one is the variable used in the problem, second is size of the population, and last is what the relationship between the variables. The people who want to investigate can gowith carefully the truthful and theoretical elements that are related to the problem. Using this process we can decides the relevancy of truth. This process directs the efforts of the investigator into productive channels. This technique help and indicates what are the contents to look for is an investigation but how to obtain data. In this paper we presented some facts and study about the process of hypothesis. We also explain various term used in the hypothesis, like nature,importancecharacteristics, and limitation.
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