what requires few, if any, assumptions about the shapes of the underlying population distributions?
nonparametric tests
what should we use if all assumptions are met?
parametric techniques
what should we use if the dependent variable is either nominal or ordinal?
nonparametric techniques
what should we use if the distribution of the dependent variable is skewed?
nonparametric techniques
what should we use if the assumptions are not met especially normality & homogeneity of variance
nonparametric techniques
why are nonparametric tests less powerful compared to parametric?
parametric use more of the information available in a set of numbers
what tests use info consistent with interval or ratio scale measurement?
parametric
what test use nominal or ordinal information only?
nonparametric tests
what tests are more flexible and allow you to test a greater range of hypotheses ?
parametric tests
what are used to test variables that have nominal data?
Chi-Square Test
Gender, political affiliation and course delivery method are examples of what kind of data?
nominal
what evaluates whether the proportions of individuals who fall into categories are equal to the hypothesized values?
chi-square Goodness -of-fit Test
if hypothesized proportions are equal,
the expected frequencies will be equal
if hypothesized proportions are unequal,
the expected frequencies will be unequal
what helps organize the data in a study to illustrate how each group divides itself according to the variable ?
contingency tables
what is a test to see whether a relationship exists between two nominal variables?
Chi- square Test of independence