Number Total number of fraud cases received from this state. IdentityTheftCompla ints

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1 Background Information HOMEWORK INSTRUCTIONS In 2012, fraud and identity theft cost American consumers approximately $1.5 billion. Alarmingly, in many cases, the financial burden of paying for the fraud or theft falls on the victim. As the incidence of fraud and identity theft continues to climb, it behooves people and businesses to look at the issues involved with these crimes. Problem Statement In this assignment, students will analyze the incidence and impact of fraud and identity theft throughout the United States. They will also look at potential underlying causes and possible solutions to these expensive crimes. Instructions IMPORTANT: This assignment requires the Windows version of Microsoft Office. IMPORTANT: Complete the steps below in the order they are given. Completing the steps out of order may complicate the assignment or result in an incorrect result. 1. Download and extract the provided Data Files ZIP file. It contains the following files for use in this assignment: a. states.xml Information on the states, their population, household income, and aggregate fraud statistics for 2014 [1] [3]. Table: States Field Name Type Description StateAbbrv Short Text Primary key. Postal abbreviation for the state. StateName Short Text Full name of the state. Population Number 2014 Census population estimate. HouseholdIncome Currency Median household income for StateFraudComplaint s Number Total number of fraud cases received from this state. IdentityTheftCompla ints Number Total number of identity theft cases received from this state. PaidFraudComplaint s Number Number of fraud complaints where the person had to pay for fraudulent charges. PaidFraudCost Currency Total amount of money paid for supposedly fraudulent charges. Page 1 of 6 Version 19.5

2 b. fraudcomplaints.xml List of the top five types of fraud committed in each state in Table: FraudComplaints Field Name Type Description StateAbbrv Short Text Part of composite key. Postal abbreviation of state. FraudTypeAbbrv Short Text Part of composite key. Abbreviation for type of fraud. Rank Number Ranking of the fraud type for the state. FraudTypeComplaint s Number 2. Begin by creating a new Microsoft Access database named lastname_firstname_hw4_cfitp.accdb. 3. Import the following items into the database: Number of complaints received for this fraud type. a. states.xml file Import structure and data into a new table. b. fraudcomplaints.xml file Import structure and data into a new table. 4. We need to create a table to store data on the fraud types. a. Create a table named FraudTypes with the fields below. Use appropriate field types and designate a good primary key. Table: FraudTypes Field Name FraudTypeAbbrv FraudTypeName b. Enter records for all fraud theft types below. HINT: The FraudTypes table will contain 9 records. Description Abbreviation of up to three characters representing the fraud type. Full name of fraud type. FraudTypeAbbrv ARC BL CC DC IS ISC PSL SAH TMS FraudTypeName Auto-Related Complaints Banks and Lenders Credit Cards Debt Collections Impostor Scams Internet Services Prizes, Sweepstakes and Lotteries Shop-at-Home and Catalog Sales Telephone and Mobile Services Page 2 of 6 Version 19.5

3 5. Create the appropriate relationships for the following tables. Do not enforce referential integrity. a. States and FraudComplaints b. FraudTypes and FraudComplaints 6. Create separate queries to provide the information requested below. Name each query after the step in which it appears (e.g., name the query in Step 6a as Query6A). HINT: Run your queries to test them. Make sure that they display all and only the records that you would expect to appear. a. Create a query displaying fraud information for all states. List each state's name, population, household income, number of fraud complaints, and number of identity theft complaints. Sort by state name in ascending order. HINT: This query will show 50 records and 5 fields. b. We wish to compare the most common types of fraud for each state. Create a query listing the state name, fraud type name, rank, and number of fraud complaints for the fraud type. Only display fraud types where the rank is not more than 3 ( 3). Sort by state name in ascending order and then by number of complaints in descending order. HINT: This query will show 150 records and 4 fields. c. Create a query to find information on Internet fraud and other large types of fraud. List the fraud type name, state name, and number of fraud complaints for the fraud type. Only display records for the Internet Services fraud type or where at least 5,000 complaints were received in a state for the fraud type. Sort by fraud type name and then by state name, both in ascending order. HINT: This query will show 41 records and 3 fields. Page 3 of 6 Version 19.5

4 d. We wish to determine the prevalence of identity theft. Create a query listing, for each state name, its population and number of identity theft complaints. Also, include a field to calculate the identity theft complaints per 100,000 residents. You can calculate the identity theft complaints per 100,000 residents using the formula: [States. IdentityTheftComplaints] ( ) [States. Population] Format the calculated field as a standard-type number with no decimal places. HINT: This query will show 50 records and 4 fields. e. Create a query to determine the cost of each fraud complaint. List each state s name, number of paid fraud complaints, and paid fraud cost. Also, include a field to calculate the cost of each paid fraud complaint. You can calculate the cost of each paid fraud complaint using the formula: [States. PaidFraudCost] [States. PaidFraudComplaints] Only display cases where the cost of each paid fraud complaint was at least $1,400 ( 1400). Format calculated field as currency with 2 decimal places. HINT: This query will show 46 records and 4 fields. f. We wish to determine the total number of complaints for each type of fraud. Create a query listing, for each fraud type name, the sum of complaints. Format the sum of complaints as a standard-type number with no decimal places. HINT: This query will show 7 records and 2 fields. Page 4 of 6 Version 19.5

5 g. We want to compare the number of identity theft cases to the number of fraud cases on a per-state basis. Copy-and-paste this SQL code into a new query: SELECT States.StateName, States.IdentityTheftComplaints, States.StateFraudComplaints, Round(IdentityTheftComplaints/StateFraudComplaints,2) AS IdentityTheftPerFraud FROM States ORDER BY Round(IdentityTheftComplaints/StateFraudComplaints,2) DESC; IMPORTANT: Do not make any modifications to this query other than entering the above SQL code. HINT: This query will show 50 records and 4 fields. 7. We need to create a new table to store analysis questions responses. a. Create a table named AnalysisQuestions with the fields below. Use appropriate field types and designate a good primary key. Table: AnalysisQuestions Field Name QuestionNumber Response Description Question being answered. Response to the analysis question prompt. 8. In the AnalysisQuestions table, answer four of the five analysis questions below. Respond to one question per record. a. Is there any relationship between a state s household income and its fraud rate? Why might this be the case? b. Which state has the highest rate of identity theft complaints per 100,000 residents? Why do you think this state has such a high rate? c. What other types of crime might be related to fraud or identity theft? d. Why do some states have lower levels of identity theft than other states? e. Name at least one thing that could be done by the government or companies to reduce identity theft or fraud. Briefly explain what your proposal would do. 9. Run the Compact and Repair Database utility on your database. Ignore any errors you receive when running the utility. Page 5 of 6 Version 19.5

6 Grading Rubric HOMEWORK INSTRUCTIONS This assignment is worth 50 points. It will be graded by your instructor using this rubric, with partial credit awarded as appropriate: Step 3 3 points Steps 6a-g 4 points each Steps 4a-b 4 points total Step 7a 2 points Step 5 3 points Steps 8a-e (pick 4 of 5) 2.5 points each The analysis questions in Steps 8a-e will be evaluated using this rubric: Standard Meets Requirements (1.25 points) Does Not Meet Requirements (0 points) Answer is reasonable. Answer addresses the question prompt and is factually correct or a reasonable interpretation of available data. Answer does not address the question prompt, is factually incorrect, or is an unreasonable interpretation of available data. Answer is supported. Acknowledgments Logical rationale is provided to support the given answer. Logical rationale is not provided to support the given answer. The image in the introduction appears courtesy of the Federal Trade Commission [4]. References [1] Consumer Sentinel Network Data Book for January-December 2014, Federal Trade Commission, Feb Available: [2] Household Income: 2013, U.S. Census Bureau, Sep Available: br13-02.pdf. [3] Population Estimates, U.S. Census Bureau. Available: [4] Federal Trade Commission Seal Available: Page 6 of 6 Version 19.5