Hypothesis testing eliminates such uncertainties.įor every research experiment, there are mainly two explanations: the null hypothesis Null Hypothesis Null hypothesis presumes that the sampled data and the population data have no difference or in simple words, it presumes that the claim made by the person on the data or population is the absolute truth and is always right. ![]() ![]() The data should not have been caused by chance or a random factor. read more, it is very important to eliminate randomness. In statistics Statistics Statistics is the science behind identifying, collecting, organizing and summarizing, analyzing, interpreting, and finally, presenting such data, either qualitative or quantitative, which helps make better and effective decisions with relevance. Based on the data, researchers draw conclusions. They then collect data to test those relationships. Researchers speculate on relationships between various factors. Hypothesis testing uses sample data to validate the research. Source: Hypothesis Testing () Hypothesis Testing in Statistics Explained You are free to use this image on your website, templates, etc., Please provide us with an attribution link How to Provide Attribution? Article Link to be Hyperlinked
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