Instructions (READ COMPLETELY):
• This Mid-Term Exam is worth 250 points.
• The points associated with each problem varies; the problems are individually marked.
• This exam is open book and open notes, and you may take as long as you like on it provided that you submit your solutions no later than the due date posted in our course schedule of the syllabus. You may refer to your textbook, notes, and online classroom materials, but you may not consult anyone.
• You must show all of your work to receive full credit. If a problem does not seem to require work, write a sentence or two to justify your answer.
• Please type your work in your copy of the exam, or if you prefer, create a document containing your work. Scanned work is also acceptable. Be sure to include your name in the document and start the file name with your LAST NAME.
o If you are going to scan your hand-written solutions, you should insert additional spaces in the document before printing it. There is not sufficient space to answer the questions in the current format.
o If there is an Excel file with data sets available, you can show your work in the Excel file. Just make sure you put a note to “See Excel File” in your homework submission. Additionally, make sure your Excel file follows the proper naming convention: start the file name with your LAST NAME.
• Prior to submitting your exam solutions, review the “Detailed Tips: Homework Assignments” announcement. Make sure you NAME the file correctly.
Questions 1-15 are worth 3 points each for a total of 45 points.
1. (3 points) Which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for names of college professors. (Circle one)
2. (3 points) If a tax auditor selects every 10,000th tax return that is submitted, which form of sampling is he/she using? (Circle one)
3. (3 points) ___outliers________________ are sample values that lie very far away from the vast majority of other sample values.
5. (3 points) A __________ is a graph consisting of bars of equal width drawn adjacent to each other (unless there are gaps in the data). (Circle one)