Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a ...

In the early 20 th century, Guinness breweries in Dublin had a policy of hiring the best graduates from Oxford and Cambridge to improve their industrial processes. At the time, it was considered a ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the Chi-Square probability distribution. You will be introduced to the use of that ...

In this method, the observed numbers of cases falling into each of the intervals have been found above. Now, assuming that the null hypothesis is true, the expected numbers in each of the intervals ...

For any probability model $M\equiv \{p(x|\theta,\omega),\theta \in \Theta,\omega \in \Omega \}$ assumed to describe the probabilistic behaviour of data x∈ X, it is ...

The statistical analysis of discrete data has been the subject of extensive statistical research dating back to the work of Pearson. In this survey we review some recently developed methods for ...

Portfolio analysis often assumes that returns are approximately normal; we test this assumption for Macy's. Investors need to be aware that even though it is the same company in more or less the same ...

At times we wish to examine statistical evidence, and determine whether it supports or contradicts a claim that has been made (or that we might wish to make) concerning the entire population. This is ...