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Chauvenets Criterion

Chauvenets Criterion is a statistical test that can be used to find the outliers in the given data. The Chauvenets test assumes that the data is normally distributed. The Chauvenets criterion provides an upper...

Hausman Test

The Hausman test (also called the Durbin-Wu-Hausman test) is used to check whether an estimate for an unknown parameter is consistent or not. It is also applied in the context of linear regression to...

Walds Chi Squared Test

Walds test (also called Walds Chi Squared test) is a test that is used to test whether an unknown parameter θ of a distribution is equal to a hypothesized value θ0. Just as we...

Grubbs test

Grubbs test (also called the Maximum Normed Residual Test) is a test used to find outliers in a given set of data. It can detect whether the smallest value or the largest value in...

Homoscedasticity

During linear regression, we assume that errors/residuals are normally distributed with mean 0 and some. When we apply the least square method to minimize the error we assume that all the errors have the...

Rejection Region

Whenever we are testing a statistical hypothesis, if the value of the test statistic falls within the rejection region (critical region) then that causes us to reject the null hypothesis and accept the alternative...

Zalpha/2 (Zα/2)

The Zalpha/2 (Zα/2) refers to the critical table value we obtain when conducting a two-tailed Z test at the α% level of significance. The Zα/2 value is important because it is used to decide...

Kruskal-Wallis H test

The H test (or Kruskal-Wallis test) is a non-parametric test that is used to test for the equality of three or more population medians. It is the non-parametric version of the usual one-way ANOVA...

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