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In hypothesis testing, a type II error is due to a failure of rejecting
an invalid null hypothesis. The probability of avoiding a type II error is
called the power of the hypothesis test, and is denoted by the quantity
1 - β .
read more

In hypothesis testing, a type II error is due to a failure of rejecting
an invalid null hypothesis. The probability of avoiding a type II error is
called the power of the hypothesis test, and is denoted by the quantity
1 - β .
read more

A statistical method is called non-parametric if it makes no assumption on the
population distribution or sample size.
This is in contrast with most parametric methods in elementary statistics that
assume the data is quantitative, the population...

A multiple linear regression (MLR) model that describes a dependent variable
y by independent variables x1, x2, ..., xp (p > 1) is expressed by the equation as
follows, where the numbers α and βk (k = 1, 2, ..., p) are the parameter...

In an experiment study, various treatments are applied to test subjects and the
response data is gathered for analysis. A critical tool for carrying out the analysis is
the Analysis of Variance (ANOVA). It enables a researcher to differentiate
treatm...

In an experiment study, various treatments are applied to test subjects and the
response data is gathered for analysis. A critical tool for carrying out the analysis is
the Analysis of Variance (ANOVA). It enables a researcher to differentiate
treatm...

Ever wonder how to finish your statistics homework real fast? Or you just
want a quick way to verify your tedious calculations in your statistics class
assignment. We provide an answer here by solving statistics exercises with
R.
read more