Type I and Type II error. Type I error occurs when one rejects the null hypothesis when it is true and its denoted by alpha (false positive). Type II error occurs when accepts the null hypothesis when it is false and its denoted by beta (false negative).
Poisson distribution is used for calculating the possibilities for an event with the given average rate of value. We can use poisson distribution table under certain conditions that will make calculating probabilities a little easier.
Measures of central tendency. Very easy to forget the difference between the mean, the median and the mode. Mean: the average value. Median: the middle value of a list in ranked order. Mode: The most frequent value.