MKTG 3596 Lecture Notes - Lecture 8: Null Hypothesis, Contingency Table, Frequency Distribution
Document Summary
Lives in north, south, east or west. Prefers to use phone, net, or mail to make orders. Total purchased from our firm in last year. Number of returns in last 12 months. Tests that concern population parameters and require assumptions about population parameters (e. g. , t-test) Require data from an interval or ratio scale. Do not state hypotheses in terms of specific population parameters and make few assumptions about the population distribution. Can examine data from nominal and ordinal scales. Chi-square tests are used when you are looking for patterns in counts or frequencies. Has a null hypothesis: specifies the proportion (or %) of the population in each category, what they believe will happen, these proportions based on well-defined rationale. Population divided equally among the different categories (sometimes called no preference") The frequency value that is predicted from the null hypothesis.
