July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Hypothesis testing
Hypothesis testing is used to test whether certain assumptions, or premises, about a dataset could not happen by chance. If this is the case, then the results of the test are considered to be statistically significant.
Performing hypothesis testing is not a simple task. There are many different pitfalls to avoid such as the placebo effect or the observer effect. In the former, a participant will attain a result that they think is expected. In the observer effect, also called the Hawthorne effect, the results are skewed because the participants know they are being watched. Due to the complex nature of human behavior analysis, some types of statistical analysis are particularly subject to skewing or corruption.
The specific ...