Your boss at the bank finally gives you its current rough estimate of the bank s average costs for each type

consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the ages of the customers who have purchased organic foods over the past 3 months. Past research done by the Diligent Consulting Group has shown that different age groups buy certain products for different reasons. Loving Organic Foods has sent a survey to 200 customers who have previously purchased organic foods, and 124 customers have responded. The survey includes age data of past customers who purchased organic foods in the previous quarter. Case Assignment Using Excel, create a frequency distribution (histogram) of the age data that was captured from the survey. You should consider the width of the age categories (e.g., 5 years, 10 years, or other). That is, which age category grouping provides the most useful information? Once you have created this histogram, determine the mean, median, and mode. After you have reviewed the data, write a report to your boss that briefly describes the results that you obtained. Make a recommendation on how this data might be used for marketing purposes. Be sure to conduct adequate research on organic foods industry, organic market analysis, and healthy food industry using IBISWorld database or other databases such as Business Source Complete (EBSCO) and Business Source Complete - Business Searching Interface in our online library. Provide a brief description on the industry background and the consumer changing attitudes and behavior toward healthy lifestyles. Also identify the customer demographics of organic food industry and explain how the customers of Loving Organic Foods are different from this target market. Data: Download the Excel-based data file with the age data of the 124 customers: Data chart for BUS520 Module 1 Case. Use these data in Excel to create your histogram. Assignment Expectations Excel Analysis Complete analysis in Excel using the Histogram function. Please watch the following video which covers how to create a histogram in Excel: https://www.youtube.com/watch?v=GL91GrVf3EY If you are not so familiar with Excel, refer to the following link on Excel training videos: https://support.office.com/en-us/article/Excel-training-9bc05390-e94c-46af-a5b3-d7c22f6990bb?ui=en-US&rs=en-US&ad=US Check the professional market research reports from the IBISWorld database to conduct the industry analysis. IBISWorld can be accessed in the Trident Online Library. IBISWorld Overview (n.d.). IBISWorld, Inc., New York, NY. IBISWorld Forecast (n.d.). IBISWorld, Inc., New York, NY. IBISWorld Data and Sources (n.d.). IBISWorld, Inc., New York, NY. IBISWorld Navigation Tips (n.d.). IBISWorld, Inc., New York, NY. Written Report Length requirements: 4–5 pages minimum (not including Cover and Reference pages). NOTE: You must submit 4–5 pages of written discussion and analysis. This means that you should avoid use of tables and charts as “space fillers.” Provide a brief introduction to/background of the problem. Provide a brief description of organic food industry and target market characteristics such as their demographics, lifestyles and shopping behaviors. Provide a written analysis that supports your Histogram age groups (bins). Based on your analysis of the histogram data, provide complete and meaningful recommendations as the data relates to Loving Organic Foods’s marketing strategy. Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size. Have an introduction at the beginning to introduce the topics and use keywords as headings to organize the report. Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count. Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words. Upload both your written report and Excel file to the case 1 Dropbox.

each type of classification error. [Note that all bank models here include only profits and losses within three years of when a card is issued, so the impact of out-years (years beyond 3) can be ignored.] Cost Per False Negative: $5000 Cost Per False Positive: $2500 For the 600 individuals that were automatically given cards without being classified, the total cost of the experiment turned out to be 25%*($5000)*600 or $750,000. This is $1,250 per event. Only models with lower cost per event than $1,250 should have any value. Question: What is the threshold score on the Training Set data for your model that minimizes Cost per Event? You will need this number to answer later questions. Hint: Using theAUC Calculator Spreadsheet, identify which Column displays the same cost-per-event (row 17) as the overall minimum cost-per-event shown in Cell J2. The threshold is shown in row 10 of that Column. What the threshold means is that at and above this number everything is classified as a "default."

each type of classification error. [Note that all bank models here include only profits and losses within three years of when a card is issued, so the impact of out-years (years beyond 3) can be ignored.] Cost Per False Negative: $5000 Cost Per False Positive: $2500 For the 600 individuals that were automatically given cards without being classified, the total cost of the experiment turned out to be 25%*($5000)*600 or $750,000. This is $1,250 per event. Only models with lower cost per event than $1,250 should have any value. Question: What is the threshold score on the Training Set data for your model that minimizes Cost per Event? You will need this number to answer later questions.