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Final Project: Probability Estimation and Hypothesis Testing in Marketing Analytics - Document preview page 1

Final Project: Probability Estimation and Hypothesis Testing in Marketing Analytics - Page 1

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Final Project: Probability Estimation and Hypothesis Testing in Marketing Analytics

A final project applying probability estimation and hypothesis testing in the field of marketing analytics.

Ethan Wilson
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Final Project: Probability Estimation and Hypothesis Testing in Marketing Analytics - Page 1 preview imageFinal Project: Probability Estimation and Hypothesis Testing inMarketing AnalyticsAssignment 4: Final ProjectProbability and Hypothesis TestingYour final project entails systematic extraction of decision-aiding insights from a dataset(SampleDataSet.xlsx) provided to you in theDoc Sharingarea. The goal of this project is to provide youwith hands-on experience in conducting and interpreting different types of function-wise statisticalanalysis. The focus of your analysis will be on the marketing strategy and analysis-related topics. Attimes, you will be expected to conduct additional research on topics that are not adequately covered inyour text, for example, data due diligence.In this segment, you will estimate simple probability and test hypotheses using the providedSampleDataSet.Probability: Find theRegionvariable in the SampleDataSet. Using SampleDataSet, create afrequency distribution or a histogram. Based on the frequency distribution or histogram, estimatetheprobability associated with each region.Here I am creating the frequency distribution of the region.We can see that there are 9 regions in total and the sample size is 2000 so the relative frequencyfor each region is the frequency of that region divided by the total frequency (which is 2000). Andusing this concept the obtained frequencies and calculated probabilities are given below,RegionFrequencyProbability13830.191521200.0632980.14941490.074551350.067562450.122573810.190581450.072591440.072Total20001Test the following hypotheses:1.Hypothesis 1: Age (of residents) of Region 1 > Age of Region 7
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