A hypothesis is tested by investigation through experimentation
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They are part of the scientific method. The test results confirm or disprove the hypothesis.
Most parametric and many non-parametric tests for testing the significance of hypotheses are based on the assumption of normality - or approximate normality.
Science is about our understanding of things. We have hypotheses about the way in which something works. We use logic to work out the consequences of the theory and then design tests to check whether or not the consequences follow. If they do then there is greater evidence in support of the theory and if not, the theory needs amending or scrapping. What distinguishes science from quackery are these logical tests, and the acceptance (sometimes reluctant) that existing theories are just plain wrong and new ones are required.
All statistical tests are part of Inferential analysis; there are no tests conducted in Descriptive analysis · Descriptive analysis- describes the sample's characteristics using… o Metric- ex. sample mean, standard deviation or variance o Non-metric variables- ex. median, mode, frequencies & elaborate on zero-order relationships o Use Excel to help determine these sample characteristics · Inferential Analysis- draws conclusions about population o Types of errors o Issues related to null and alternate hypotheses o Steps in the Hypothesis Testing Procedure o Specific statistical tests
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