MKT 500 Lecture Notes - Lecture 9: Railways Act 1921, Null Hypothesis
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Analysis: all types, but mean is most common. Example of group differences using categorical data (%) Research objective: to determine whether there are genders differences in the likelihood to purchase over the internet. We reject the null hypothesis if there"s less than a 5% chance of being right (i. e. p select independent variable (e. g. gender) > grouping variable. > select dependent variable (e. g. purchase over the internet) > target variable. If this value is less than 0. 05, then we conclude a significant difference exists. Example of relationships between categorical variables cross-tabulation. Research objective: to determine whether a relationship exists between gender and coupon use. Null hypothesis: no relationship between gender and coupon use.
