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Type I error In a hypothesis test, the type I error, often noted $\alpha$ and also called "false alarm" or significance level, is the probability of rejecting the null hypothesis while the null hypothesis is true. This comprehensive 10-page cheat sheet contains a semester's worth of materials and covers all the basics of probability theory. There are many facets to Machine Learning. This has the advantage of providing important information in a very compact form. February 26, 2019 at 2:30 pm. 5 likes 10,617 views. Data science is all about estimation and prediction. The binom.cdf () method from the scipy.stats module can be used to calculate the probability of observing a specific value or less using the cumulative density function. Here I am sharing a cheat sheet that has important formulae related to probability. Multiplication Rule To practice using these equations, you can check out this resource. 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