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These flashcards cover key concepts and terms from the MKTG 121 Chapter 18 lecture on analysis and interpretation of multiple variables.
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Multivariate Analysis
A set of statistical techniques used to examine relationships among two or more variables simultaneously.
Cross Tabulation
A multivariate technique for studying the relationship between two or more categorical variables.
Independent Samples t-test
A statistical test used to determine whether there are significant differences between the means of two independent groups.
Paired Sample t-test
A statistical test that compares two means when scores for both variables are provided by the same sample.
Pearson Product-Moment Correlation Coefficient
A statistic that indicates the direction and degree of linear association between two continuous variables.
Regression Analysis
A statistical technique used to derive an equation representing the influence of one or more predictor variables on a continuous dependent variable.
Cramer’s V
A statistic used to measure the strength of the relationship between categorical variables, ranging from 0 (no association) to 1 (perfect association).
Null Hypothesis
A statement used in statistical testing that assumes no relationship or effect exists between variables.
Statistical Significance
A measure of whether an observed effect or relationship exists, with a p-value less than a specified threshold (usually 0.05) indicating significance.
Coefficient of Determination (R²)
A measure in regression analysis that explains the proportion of variance in the dependent variable accounted for by the independent variable(s).