When using chi square the sum of the expected frequencies

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True or False

The moving average method averages out cyclical and irregular components.

When using Chi Square , the sum of the expected frequencies and the sum of the observed frequencies must be equal.

The test statistic chi-square used in a goodness-of-fit test has k-2 degrees of freedom. 

Explained variation equals total variation minus unexplained variation.

A Spearman’s rank-order coefficient of -0.91 indicates a very weak relationship.

To employ ANOVA, the data must be at least the ordinal scale.

If the computed value of F is 5.01 and the critical value is 2.67, we would conclude that all the population means are equal.

Unlike student’s t distribution, there is only one F distribution.

Pearson’s coefficient of correlation can be used if the data is nominal scale.

Reference no: EM13240913

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