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- W4304194989 abstract "Statistical analysis is done by many ways, but the majority of biologists use the ‘classical’ statistics which involves testing of null hypothesis using experimental data. In this process we estimate the probability that is obtained from the observed results or, something more extreme, if the null hypothesis is true. If the estimated probability (the p-value) is lesser than the significance value, we conclude that null hypothesis is unlikely true, and we reject the null hypothesis. So, hypothesis is defined as an assumption about a single population or about the relationship between two or more populations. It is testable and provides a possible explanation of a certain phenomenon or event. On the other hand, if a hypothesis is not testable, then it implies insufficient evidence to provide more than a tentative explanation, e.g. extinction of inland fishes. To test the new information or knowledge or belief about the populations against the existing one, two hypotheses are used, the null hypothesis (H0) and the alternative hypothesis (H1). Null hypothesis (H0) assumes that there is no difference between the new and existing populations. However there can be some indications that existing knowledge of beliefs may not be true. The null hypothesis (H0) is tested against the alternative hypothesis (H1). The alternative hypothesis states the statistical statement indicating the presence of an effect or a difference and sometimes known as ‘an intelligent guess’ based on limited information. It may so happen that the experimental results may match predictions, but it should be believed after proper testing and analysis of appropriate statistical tool(s), which includes designing an experiment or survey to generate or collect data/information (raw), exploratory data analysis and choosing an appropriate significance level or confidence limits (intervals)." @default.
- W4304194989 created "2022-10-11" @default.
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- W4304194989 date "2022-10-12" @default.
- W4304194989 modified "2023-10-18" @default.
- W4304194989 title "Basic Concept of Hypothesis Testing and Parametric Test" @default.
- W4304194989 doi "https://doi.org/10.1007/978-981-19-4411-6_4" @default.
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