Economics 138:
Social Science Reasoning Using Statistics
Homework Solutions (Login with ULID and password)
Announcements
Saturday, May 6
The Final Exam is schedule for Thursday, May 11 at 1:00 in CVA 151.
My office hours next week are as follows:
Tuesday, May 9 - 10:00 - 11:30, 2:00 - 4:00
Wednesday, May 10 - 1:00 - 3:30
Thursday, April 27
Exam #3 is scheduled for Wednesday, May 3 and will cover chapter 19, 20, 21 and 23. Follow the link below to a list of potential exam topics and suggested review problems. Please remember to bring a calculator (you may not use your cell phone), a pencil and UID card to the exam.
Monday, April 24
Data Analysis Assignment #3 has now been posted and is due in class on Wednesday, May 3rd. Be sure to attend class this Wednesday as we will explore the SPSS procedures for conducting hypothesis test about the population mean necessary for this assignment.
SPSS Tutorials will be held on the following dates:
Wednesday, April 26 - 11:00 to 12:00 in STV 440
Friday, April 28 - 12:00 to 1:00 in STV 440
Monday, May 1 - 11:00 to 12:00 in STV 440
Quiz #6 is scheduled for Monday, May 1 and will cover chapters 21 and 23.
Exam #3 is scheduled for Wednesday, May 3 and will cover chapters 19, 20, 21 and 23.
Friday, April 14
Quiz # 5 is scheduled for Monday, April 17 and will cover Chapters 19 and 20
Monday, March 27
Extra Credit Assignment is due in class on Monday, April 3.
Exam #2 is scheduled for Monday, April 3 and will cover chapters 14, 15, 16, 12, and 18. Follow the link below to a list of potential exam topics and suggested review problems. Please remember to bring a calculator (you may not use your cell phone), a pencil and UID card to the exam.
Thursday, March 23
Detailed solutions to Chapter 18 problems can be found under the Homework Solutions link.
Students experiencing technical difficulties when attempting to access the Homework Solutions folder should follow this link to the Ch. 18 Solutions.
Abir has canceled his office hours for the week of March 27th, we apologize for any inconvenience this may cause.
Monday, March 20
New Quiz and Exam Schedule:
Quiz #4 - Monday, March 27 - Covers Chapters 16, 12 and 18
Exam #2 - Monday, April 3 - Covers Chapters 14, 15, 16, 12 and 18
Monday, February 20
Check out the new "Homework Solutions" link above. I will occasionally post solutions to recommended textbook problems, in-class assignments and data analysis assignments here. Notice you must login with your ISU ULID and current password.
Thursday, February 16
Exam #1 is scheduled for Wednesday, February 22 and will cover chapters 2, 3, 4, 5 and 6. Follow the link below to a list of potential exam topics and suggested review problems. Please remember to bring a calculator (you may not use your cell phone), a pencil and UID card to the exam.
Monday, January 30
Quiz #1 is scheduled for Wednesday, February 1 and will cover chapters 2, 3 and 4. Please remember to bring a calculator and your UID card.
Data analysis assignment #1 is now posted on the "Data Analysis" page and is due in class on Wednesday, February 8.
Click here for solutions to the practice problem given in the lecture slides of Chapter 4.
Wednesday, January 25
During Monday's lecture we identified some controversial, if not interesting, questions that could be explored with the class survey data we have collected. You may recall that one student suggested that we explore whether Cubs fans were smarter than Sox fans (or vice versa). Our first step in answering this question should be to compare the distributions of GPAs for these groups. Follow the link below to view the histograms of GPAs for Cubs and Sox fans. Comment on the shape, center, spread and any unusual feature for each histogram. Can you make any firm conclusions, which group is "smarter"?
Thursday, January 19
If you have some spare time prior to class next Monday, follow this link to the class survey data (notice the first worksheet contains a copy of the original questionnaire, while the second worksheet contains the actual data collected.) Do you notice any interest facts, patterns or trends in the data? Also attempt to identify interesting questions that we could explore using this data. For example, in past semesters I have noticed that my female students are more likely to be Cubs fans, so I'm interesting in determining whether this trend holds true again this semester.