JOUR 651 Lecture Notes - Lecture 55: Multivariate Analysis, Time Series, Thomas Edison

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Implement your change initiative on a smaller proportion scale, like a sample, of a target population before fully executing the initiative. One is the control group, where you don"t implement change and the other is the treatment group, where you execute strategy. As an example, imaging your strategy is a new marketing campaign designed to encourage recycling. Our measure is the effect of percentage of trash picked up by recycling trucks. Divide one of your collection zones into two groups, with one targeting the marketing campaign and track the measure for both groups in separate. After that, look for significant differences between percentages of trash into recycling of the two groups. This is exploring the relationships between a lot of variables/factors. In a quantitative sense, it means building statistical models that numerically look at multiple measures in a result. We can also do this visually by collecting time series graphs to examine the correlations and patterns in measures.

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