Cronbach's alpha refers to a coefficient of reliability. This can be written as a purpose of the number of test items and its average inter-correlation. Cronbach's alpha commonly increases as the correlation of the items increase.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
In statistics, this is the symbol for the "Variance"
Mean is the average.
Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.
They are statistics of central tendency.
Yes
Lee Cronbach died on 2001-10-01.
Lee Cronbach was born on 1916-04-22.
Abraham Cronbach died on 1965-04-02.
Abraham Cronbach was born on 1882-02-15.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
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You should use Guttman's lambda 6 if you are conducting a reliability analysis in which the items are ranked in order of difficulty or severity. If the items are not ranked, Guttman's lambda 4 is more appropriate for assessing reliability.
It's "kron-bock" Old Swabbie
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Oh, dude, you're hitting me with the science stuff! So, like, both deuterons and alpha particles are nuclei, right? Deuterons are made up of a proton and a neutron, while alpha particles have two protons and two neutrons. So, the statistics that apply to them would be nuclear physics statistics, like nuclear spin, energy levels, and decay modes. Hope that helps!
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.