Discrete Random Variable Infographic What makes a function of a discrete variable a candidate for a discrete random variable distribution? What about the counterpart of this candidacy in the case of a continuous variable? Respond to these questions by visually communicating your responses in an infographic. Tips on Designing an Infographic Build an infographic and attach a written summary for items which cannot fit on the infographic. An information graphic (infographic) is a visual representation of a data set or instructive material. Infographics take a large amount of information in text (or numerical form) and then condense it into a combination of images and text highlights. This modern data transformation technique allows viewers to quickly grasp essential insights about a specific subject. Review this ten-minute video (link below) to see what elements go into creating an effective infographic. It will provide some background on how to complete your assignment for this week. Get as creative as possible, and design a well-organized, easy to understand infographic. You can visit Piktochart, Canva, Venngage, and Visme online for infographic examples, tips on how to create them, and templates. Share your completed infographic in GAP. Be sure to share the file in a format your instructor can view such as PDF. Search the help section of the tool you chose to use to find out the options for downloading, sharing, and publishing your infographic. Piktochart Download Options Canva Download Support Venngage Download Support Visme Download Support View the Visual Organizer Rubric. Growth Rate Activity - CLO 1, CLO 2, CLO 3, CLO 4 In an article in the Journal of Retailing, Kumar, Kerwin, and Pereira noted factors affecting merger and acquisition activity in retailing. As part of the study, the authors compared the characteristics of “target firms” (firms targeted for acquisition) and “bidder firms” (firms attempting to make acquisitions). Among the variables studied in the comparison were earnings per share, debt-to-equity ratio, growth rate of sales, market share, and extent of diversification. Let ? be the mean growth rate of sales for all target firms (firms that have been targeted for acquisition in the last five years and that have not bid on other firms), and assume growth rates are approximately normally distributed. Furthermore, suppose a random sample of 25 target firms yields a sample mean sales growth rate of 0.16 with a standard deviation of 0.12. Use critical values and this sample information to test H0: ? = .10 versus Ha: ? >.10 by setting ? equal to .10, .05, .01, and .001. How much evidence is there that the mean growth rate of sales for target firms exceeds .10 (that is, exceeds 10 percent)? Now let ? be the mean growth rate of sales for all firms that are bidders (firms that have bid to acquire at least one other firm in the last five years), and again assume growth rates are approximately normally distributed. Furthermore, suppose a random sample of 25 bidders yields a sample mean sales growth rate of 0.12 with a standard deviation of 0.09. Use critical values and this sample information to test H0: ? = .10 versus Ha: ? > .10 by setting ? equal to .10, .05, .01, and .001. How much evidence is there that the mean growth rate of sales for bidders exceeds .10 (that is, exceeds 10 percent)?
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