Question

This Question has 6 parts.

Variability within groups in an ANOVA reflects any potential effect of a “treatment” among different groups.

True

False

If the null hypothesis is true in a two variable chi-square test, the expected values will always be the same as the observed values.

True

False

A two variable chi-square test is also known as a “goodness of fit” test.

True

False

The Ŷ in a regression equation represents the “predicted” value of Y, when a chosen value for X is input into the equation.

True

False

When you are evaluating the difference between population means (quantitative dependent variable), with more than 2 categories of the independent variable, the most appropriate statistical test to utilize would be a two variable chi-square test.

True

False

A calculated correlation coefficient of 0.99 between variables A and B implies that variable A causes variable B.

True

False

Answer 1

Variability within groups in an ANOVA reflects any potential effect of a “treatment” among different groups. False

If the null hypothesis is true in a two variable chi-square test, the expected values will always be the same as the observed values. False

A two variable chi-square test is also known as a “goodness of fit” test. True

The Ŷ in a regression equation represents the “predicted” value of Y, when a chosen value for X is input into the equation. True

When you are evaluating the difference between population means (quantitative dependent variable), with more than 2 categories of the independent variable, the most appropriate statistical test to utilize would be a two variable chi-square test. True

A calculated correlation coefficient of 0.99 between variables A and B implies that variable A causes variable B. True

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