ve Learning Guidebo ss Statistics Name(s) ALT-CAT 8.6 Two Sample Inference - Business Applications Two Sample Inference is an extremely powerful statistical technique for improving business decision-making. Create plausible examples of business applications for Two Sample Inference from your current/previous work experience. What two distributions are important for you to compare? Use the examples to explain to senior management how to apply two sample inference in business applications for conducting statistical inference for your Key Performance Indicators (KPIs). The business applications should come from your own personal business experience, not from lecture examples. Brainstorm for business applications in two stages. 1. First stage - (Individual) Identify a minimum of four Key Performance Indicators (KPI's) that are important in your current/previous work. The applications should be a comparison between two distributions. Two applications for difference in means. Two applications for difference in proportions. a. KPI for a continuous measurement variable for inferences about differences in true population means (H1-M2) b. KPI for a binomial random variable for inferences about a true population proportions (p1 - p2) 2. Second stage - (Team) Brainstorm a minimum of one more application for each with your team. Total of six applications - three for differences in means and three for differences in proportions. Brainstorming Rules: One idea per participant All ideas accepted - no criticism, no evaluation . Only one idea presented at a time by each participant Piggybacking encouraged