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The block chi-square, 9.562, tests whether either or both of the variables included in this block (GPA and TUCE) have effects that differ from zero. This is the equivalent of an incremental F test, i.e. it tests H 0: β GPA = β TUCE = 0. The model chi-square, 15.404, tells you whether any of the three Independent Variabls has significant effects.
The Cochran–Armitage test for trend, [1] [2] named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories. It modifies the Pearson chi-squared test to incorporate a suspected ...
Cramér's V. In statistics, Cramér's V (sometimes referred to as Cramér's phi and denoted as φc) is a measure of association between two nominal variables, giving a value between 0 and +1 (inclusive). It is based on Pearson's chi-squared statistic and was published by Harald Cramér in 1946.
McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity "). It is named after Quinn McNemar, who introduced it in ...
In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary. [1] Estimates of statistical parameters can be based upon different amounts of information or data. The number of independent pieces of information that go into the estimate of a parameter is called the degrees ...
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241 killed [c] hundreds to ~2,600 killed [d] 7,000+ wounded. During the 1989 Tiananmen Square protests and massacre in Beijing, the Chinese People's Liberation Army (PLA) played a decisive role in enforcing martial law, using force to suppress the demonstrations in the city. [14]
The scaled inverse chi-squared distribution is the distribution for x = 1/ s2, where s2 is a sample mean of the squares of ν independent normal random variables that have mean 0 and inverse variance 1/σ 2 = τ 2. The distribution is therefore parametrised by the two quantities ν and τ 2, referred to as the number of chi-squared degrees of ...