# Introduction to Statistical Tests of Significance

Open Access

Year : 2023 | Volume :10 | Issue : 2 | Page : 8-13
By

### Noohi Khan

1. Assistant Professor II, Amity School of Applied Sciences, Amity University, Lucknow, Uttar Pradesh, India

#### Abstract

Hypothesis examination is the process in which we compare between two differing hypotheses. i.e. the null hypothesis H0 and the alternative hypothesis. As the null hypothesis is examined, a choice is either correct or incorrect. An incorrect conclusion can be produced in two methods: We can deny the null hypothesis once it is true (Type I error) or we cannot succeed to eliminate the null hypothesis when it is incorrect (Type II error). The possibility of getting Type I and Type II errors is defined by leading and beta edition, individually. The p-estimate is the possibility of getting findings as excessive as the examined outcomes of a statistical hypothesis test, assuming that null assumption is appropriate. A reduced p-value means that there is stronger evidence in preference of the alternate hypothesis.

## Keywords: Alternative, hypothesis, level of significances, non-parametric, null, P-value, parametric

How to cite this article: Noohi Khan , Introduction to Statistical Tests of Significance rrjs 2023; 10:8-13
How to cite this URL: Noohi Khan , Introduction to Statistical Tests of Significance rrjs 2023 {cited 2023 Jun 21};10:8-13. Available from: https://journals.stmjournals.com/rrjs/article=2023/view=92406

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Regular Issue Open Access Article

## Research & Reviews : Journal of Statistics

ISSN: 2278–2273
 Volume 10 Issue 2 Received May 12, 2021 Accepted June 21, 2021 Published June 21, 2023