Chapter 14
A Closer Look at Tests of Significance
By Boundless
![Thumbnail](../../../../../figures.boundless-cdn.com/18353/raw/michelsonmorley-boxplot.jpg)
Descriptive statistics and inferential statistics are both important components of statistics when learning about a population.
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Hypothesis tests and confidence intervals are related, but have some important differences.
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Different statistical tests are used to test quantitative and qualitative data.
Different statistical tests are required when there are different numbers of groups (or samples).
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Results are deemed significant if they are found to have occurred by some reason other than chance.
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Testing hypothesis once you've seen the data may result in inaccurate conclusions.
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The results are deemed important if they change the effects of an event.
A statistical model is a set of assumptions concerning the generation of the observed data and similar data.
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Rejecting the null hypothesis does not necessarily prove the alternative hypothesis.