Psychology 274 (52455) Introduction to Psychological Statistics Spring :30 to 10:50 am, Tuesday & Thursday SGM 601
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1 Psychology 274 (52455) Introduction to Psychological Statistics Spring :30 to 10:50 am, Tuesday & Thursday SGM 601 Professor: Text: David A. Walsh, Ph.D. Seeley G. Mudd Building, Rm 710 Phone (213) Office Hours: Tuesday & Thursday 2:00 to 3:15 PM or by appointment. Kiess and Green (2010) Statistical Concepts for the Behavioral Sciences (fourth edition), Allyn and Bacon: Boston. The class consists of both a lecture and laboratory component. The lectures will be given in SGM 601 and the laboratory sessions will meet in SGM 631, were you will learn to use computer based statistical programs to analyze data and hand in homework. The lab instructor will go over homework assignments at the beginning of class and will have you hand in your work. Full credit will be given for homework if a genuine effort was made to do the problems, whether correct or incorrect. The laboratory sections will not meet the first week of class, with the exception of the Monday section. The other laboratory sections will begin meeting on Tuesday, Jan 17th. There will be two midterm exams of 1 hour and 20 minutes in length and a final exam of 2 hours. Class grades will be assigned based on the following weighting of the various assignments and assessments: Assignment or Assessment Percentage Contribution First Midterm Exam 25% Second Midterm Exam 25% Final Exam 30% Laboratory Assignments 10% Homework Problems 10% Total Grade Basis 100% Attendance is Mandatory. We will cover a broad range of sophisticated statistical content over the semester, in a series of successive small steps. The content is easy to master if you attend every lecture, read the text, do the homework and attend lab. Attendance sheets will be passed around every class meeting in lecture for you to sign. YOUR FINAL CLASS AVERAGE WILL BE REDUCED BY 2% FOR EACH UNEXCUSED ABSENCE IN EXCESS OF TWO. You must have a hand calculator that has a memory and takes square roots in order to do homework problems. You will find it a convenience to have a calculator that performs at least the simple statistical functions such as finding a mean and a standard deviation; these cost $ Hand calculators are also necessary for exam problems, so be sure to bring your calculator to the exams. Students requesting academic accommodations based on a disability are required to register with Disability Services and Programs (DSP) each semester. A letter of verification for approved accommodations can be obtained from DSP when adequate documentation is filed. Please be sure 1
2 the letter is delivered to me as early in the semester as possible. DSP is open Monday-Friday, 8:30-5:00, their phone number is (213) Academic Integrity. I expect every student to do his or her own work in this class. That includes homework assignments, lab projects and examinations. I use old midterm and final exams as in class reviews prior to examinations. I think these are excellent teaching tools, and superb review outlines. I encourage you to take notes and study these old exams as preparation for your own exam. However, I expect you to complete midterm and final exams with out notes and to work completely on your own. The classroom is crowded and it is important that you make sure you keep your eyes on your own exam! For more information on Academic Integrity consult the Trojan Integrity Guide at A tentative schedule of dates, topics and readings are shown below. Some topics might be covered faster or slower than shown in this schedule, depending on the students' understanding of the material. Homework problems (which are due in lab), along with assignment dates and due dates are listed on the last page. There is a seven-day grace period for turning in homework assignments. Day Date Topic Readings Tues 1/10 Introduction to the basic concepts of statistics. Chp. 1 Thurs 1/12 Scientific Research: Scales of measurement, discrete Chp. 2 & continuous variables. Tues 1/17 Describing data: Frequency distributions and graphs Chp. 3 Thurs 1/19 Describing data: Measures of central tendency. Chp. 4 Tues 1/25 Describing data: Measures of variability. Chp. 5 Thurs 1/26 The normal distribution and probability. Chp. 6 Tues 1/31 The normal distribution and probability. Chp. 6 Thurs 2/2 Using Statistics for Inference and Estimation. Chp. 7 Tues 2/7 Using Statistics for Inference and Estimation. Thurs 2/9 First Midterm Exam Chp. 7 Tues 2/14 Statistical hypothesis testing with z-tests. Chp. 8 Thurs 2/16 Statistical hypothesis testing with the one-sample t test. Chp. 8 Tues 2/21 Elementary Research Methods. Chp. 9. Thurs 2/23 Statistical hypothesis testing with the two-sample t test for independent and dependent groups. Chp. 9 Tues 2/28 One-factor between-subjects analysis of variance. Chp. 10 Thurs 3/1 One-factor between-subjects analysis of variance. Chp. 10 2
3 3
4 Day Date Topic Readings Tues 3/6 Multiple comparison procedures for the one-factor between-subjects analysis of variance. Chp. 10 Thurs 3/8 Second Midterm Exam Tues 3/13 Spring Recess Thurs 3/15 Tues 3/20 Two-factor between-subjects analysis of variance. Chp. 11 Thurs 3/22 Two-factor between-subjects analysis of variance. Chp. 11 Tues 3/27 Two-factor between-subjects analysis of variance. Chp. 11 Thurs 3/29 Analysis of frequency data with the chi square test. Chp. 15 (pp ) Tues 4/3 Analysis of frequency data with the chi square test. Chp. 15 (pp ) Thurs 4/5 Correlation. Chp. 13 Tues 4/10 Correlation. Chp. 13 Thurs 4/12 Correlation. Chp. 13 Tues 4/17 Regression. Chp.14 Thurs 4/19 Regression Chapter 14 Tues 4/24 Regression. Chp.14 Thurs 4/26 Final Exam Review Tues 5/8 Final Exam 8:00 am to 10:00 am, SGM 601 Laboratory Teaching Assistants Class Meeting Time Section Number Teaching Assistant Fri 2:00P - 3:50P Andrew Larsen allarsen@usc.edu Mon 10:00A - 11:50A Andrew Larsen allarsen@usc.edu Wed 8:00A - 9:50A Jared Reser jaredreser@yahoo.com 4
5 Homework Assignments in the 4th Edition: Kiess & Green (2010) Date Assigned Chapter Assigned Problems Due on Lab Dates 1/10 Ch. 1 p.8-1, 2 a & b; p. 9 1,2; p. 12-1, 2 a & b; p. 13-1, 2; p. 15-3, 4, 7; 1/16 to 1/20 1/12 Ch. 2 p , 3 a-d; p ; p , 2, 3; p ; p. 34-9, 10, 11, 12, 13 1/16 to 1/20 1/17 Ch. 3 p. 41-1,2; p. 52-1, 3, 6, 7 a & b; p. 62-1, 2; p , 6 a, b, c, d, 7 a & b 1/23 to 1/27 1/19 Ch. 4 p. 74-1, 2, 3, 4; p. 78-1, 2, 6; p. 83-1, 2, 3; p /30 to 3, 5, 6 2/3 1/26 Ch. 5 p. 88-1, 2, 3; p. 96-1, 3; p. 99-1; pp , 4 1/30 to 2/3 1/31 Ch. 6 p , 2, 4 a, c, e, g, k, i; p , 2 a, b, c, 3 a, b; p , 3, 4, a, b, c, 5 a, b; p , 5, 6, 8, 11 2/6 to 2/10 2/2 Ch. 7 p , 2 p , 4, 5, 6 a, b, 7; p , 2, 3, 6 a, b; p ,2; p , 2, 3, 8 a, b, c 2/6 to 2/10 2/14 Ch. 8 p , 2, 4, 6; p , 5, 6; 2/20 to 2/24 2/16 Ch. 8 p a,b, 2a,b, 3a,b, 4, 5, 6; p , 2, 3, 4; pp , 2, 3, 4, 5, 13 2/20 to 2/24 2/21 Ch. 9 p , 2, 3, 4, 5; p. 1, 2, 3d; p , 3, 6, 9 (problem 1 only) 2/27 to 3/2 2/23 Ch. 9 p , 2, 4a & d, 5, 6, 7 (Report 1); p , 2; p /27 to 3/2 2/28 Ch 10 p , 3, 5, 6, 7, 10, 13, 16, 19 3/5 to 3/9 3/1 Ch 10 p , 2, 3, 5, 13 (Exp 6-10), 14, 15; p , 4, 5, 10 3/5 to 3/9 3/20 Ch 11 p , 2a,b,c,d,e; 3 (Table 1) p , 2, 3, 4, 6, 8, 12, 13, 14, 17 (Table 1) 3/26 to 3/30 3/27 Ch 11 p , 5, 9, 10 (Table 1); p , 2(Table 1 & 4) 4/2 to p , Report 1 & Report 2; p , 5 (Table 4/6 1), 6 3/29 Ch 15 p , 2, 4, 6, 7c, 8 4/2 to 4/6 4/5 Ch 13 p , 3, 4; p , 2, 3 4/9 to 4/13 4/16 to 4/20 4/10 Ch 13 p , 2, 4, 6; p , 2, 4, 6; (use definitional formula); p /17 Ch 14 p , 2, 4; p , 3; p , 2, 3, 4, 6, 7; 4/23 to 4/27 4/24 Ch 14 p ; p ; p /3 in TA Mailbox 5
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