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Similarity Measure Between Two Populations, The Brunner Munzel test (also known as the Generalized Wilcoxon Test) is a nonparametric statistical test for determining whether two samples are stochastically equal. Stochastic equality is a measure...
Rejection Region in Hypothesis Testing, What is the definition of a Rejection Region? A rejection region is a section of a graph where the null hypothesis is rejected (assuming your test results fall into...
An educated assumption about something in the world around you is a hypothesis. It should be able to be verified through experiment or observation. Consider a new drug that you believe may be effective....
Multivariate Logistic Regression in R, That’s an excellent segue into what to do when there are multiple variables. The two models we’ve looked at thus far only do single-variable logistic regression. Logistic Regression Machine...
Logistic regression machine learning, So now we’re going to get a little bit more maths. Let’s, for shorthand, write p of X for the probability that y is 1 given X. And we’re going...
Different types of scales and their names, we use data to answer fascinating issues in statistics. However, not all information is created equal. There are four different data measurement scales that are used to...
Descriptive statistics vs Inferential statistics: In the field of statistics, there are two primary branches, Descriptive Statistics Inferential Statistics Descriptive statistics vs Inferential statistics The differences between the two branches are explained in this...
Control chart in quality control, To analyze the product’s quality, a statistical Quality Control chart is employed. Every product is created for a certain purpose; if it accomplishes that aim perfectly, it is deemed...
Types of Regression Techniques, Regression analysis is used to examine how changes in an independent variable affect the dependent variable. Basically, Regression analysis involves creating an equation to describe the significant association between one...
The majority of supervised machine learning algorithms rely on a single predictive model, such as linear regression, logistic regression, or ridge regression. Bagging and random forests, on the other hand, generate a variety of...
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