Please submit a minimum 1 page (single spaced) .  Based on your Module topics, what did you find new and interesting?  And what appeared to be a review?  Also, identify at least one discussion post you found interesting, helpful, or beneficial (and why).Overview & Learning ObjectivesTopics covered in this ModuleCluster analysisK-means clusteringAssociation rulesText MiningWord cloudsStatistical inferenceSelecting a samplePoint estimationSampling distributionsInterval estimationHypothesis testsBig dataSampling errorLearning ObjectivesBy the end of this module, students should be able to:Explain concepts:cluster analysiscentroids linkagek-means clusteringDescribe association rules and market basket applicationsExplain word cloudsDiscuss text mining and unstructured dataApply k-means clusteringCompute cluster centersCalculate confidence intervals using ExcelCalculate descriptive statistics using the Data Analysis Toolpak in ExcelConduct one-tailed and two-tailed hypothesis tests in ExcelCalculate p-values and determine whether the null hypothesis should be rejected

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