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Hypothesis Testing

Hypothesis testing is used to infer the result of a hypothesis performed on sample data from a larger population. The test tells the analyst whether or not his primary hypothesis is true. Statistical analysts test a hypothesis by measuring and examining a random sample of the population being analyzed.

What is hypothesis and hypothesis testing?

Hypothesis testing is a statistical method that is used in making statistical decisions using experimental data. Hypothesis Testing is basically an assumption that we make about the population parameter. In hypothesis testing, the normal curve that shows the critical region is called the alpha region.

What are the 4 types of research design?

The design of a research topic is used to explain the type of research (experimental, survey, correlational, semi-experimental, review) and also its sub-type (experimental design, research problem, descriptive case-study). There are three main sections of research design: Data collection, measurement, and analysis.

What are the advantages of hypothesis tests over confidence intervals?

The principle of proposing a hypothesis, reformulating it into a “null” form, and then testing the robustness of that null hypothesis is fundamental to scientific inquiry and the entire process of advancing knowledge. It’s not perfect, but it is the best we have. Neither is it limited to conventional “science”; it is employed by all credible seekers after ‘truth’. Read the full article for more details.

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