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 ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data. Having data is only half the battle. How do you know your data actually ...
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 ...
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 ...
A/B testing is nothing new. So why do so many businesses still fail to do it? Conducting online A/B and multivariate testing is nothing new. The practice has been around for decades now, with Google ...
Operating Characteristic Curves for Minimum Life Hypothesis Testing for the Exponential Distribution
In some life testing situations the minimum life can be nonzero. This paper develops O. C. curves for a hypothesis test concerning the minimum life where the underlying failure distribution is ...
Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 65, No. 3 (APRIL 2016), pp. 395-414 (20 pages) Motivated by an imaging study, the paper develops a non-parametric testing ...
A study in this issue presents a new mouse model that directly tests the glutamate hypothesis of schizophrenia. The study reports that a decrease in NMDA receptor signaling during a particular ...
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 ...
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