# State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

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1 1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210 Dr. Michelle Benson Office: 513 Park Hall Office Hours: Mon & Fri 10:30-12:30 TA: Colin Tucker Office : 415 Park Hall ColinTuc@buffalo.edu Course Description The goal of this class is to introduce you to basic statistics for social sciences. Upon the conclusion of this class, you should have an understanding of how different types of statistics can or cannot be used and a mathematical understanding of the statistics used in the real world. To appropriately use statistics, you must have a clear idea of the question you are asking, of the type of data you have available to test your question, and the different possible ways of testing your question. By the end of the class, you will be able to pose fairly complicated questions and provide a statistical answer to those questions. Much of the class will deal with math as well as with the statistical concepts themselves and how to best employ these concepts. Because of the cumulative nature of the course, it is essential that student s keep up with the readings and work. If you fall behind it will be very difficult to catch up. For this reason, the deadlines for work are strict and there will be no make-ups for exams. The only extra credit in this class is for correctly answering in-class questions with the clicker and a presentation of the data analysis project. Course Prerequisites This is an upper division class so I expect you all to have had a few substantive courses in the social sciences. However, there are no official prerequisites for this course. I do assume that you all have a working knowledge of basic arithmetic. You should also be comfortable with fractions and decimals, squares and square roots, and basic algebra. Anything else you need to know will be taught along the way. It will also be helpful if you have had a course in research methods but it is not necessary. If you have a math phobia then this might not be the class for you. However, those with a basic knowledge of algebra (which you should have learned in high school) should do fine.

2 2 Required Class Materials 1) Fox, William. Social Statistics, (Any recent edition). Washington: Micro Case. This book can often be purchased online for much less than at the bookstore often for less than \$30. The workbook and disk are not necessary. 2) A Turning Point Turning Technologies Clicker (available at the bookstore). Don t forget to register your product on UB Learns (under Tools ). 3) Spare batteries + small screwdriver for the clicker 4) A non-programmable calculator able to do square roots. 5) A number 2 pencil for exams. You are required to bring your Clicker and Calculator to class every day. For help with clickers go to: Computer Policy NOTE: Any student caught by myself or another student using their computer or electronic device for ANYTHING other than taking notes will forfeit ALL of their extra credit points for the semester. That means that students should not: check , check their facebook page, surf the web, text message, use twitter, look at information for other courses, etc. during class time. If you notice a student doing any of these things please come tell me before or after class or send me an to notify me of the situation. Course Requirements (Student s final grades will be based on the following): 1) Math Quiz 5% 2) Homework assignment 5% (Due Wednesday 12/9 at the beginning of class no ed assignments accepted) 3) Three Exams 55% (15%, 20%, 20%) 4) Attendance and Class Participation (graded with the clicker) 10% Note: You are responsible for having a working clicker or a charged internet capable devise that can reliably connect to the internet. 5) Final Exam 25% (Scheduled during exam week). 6) Extra Credit (graded with the clicker) 5% -Your clicker scores are available on UBlearns. 7) Extra Credit (1%) for 2-4 minute homework data analysis presentation in front of the class. Presentation slots are assigned on a first come, first served basis. and must be scheduled no later than Wednesday, 12/9. All presentations must be given by Wednesday, 12/9. To obtain the following grades you must obtain the following percentage points in the course: A=93% to100%, A- = 90% to <93%, B+=87 to<90%, B=83% to <87%, B-=80% to <83%, C+=77% to <80%, C=73% to <77%, C-=65% to <73%, D=55% to <65%, F=<55%.

5 5 Learning Outcomes and Assessments This course provides students with a variety of tools for both feedback and evaluation. The table below presents the learning outcomes of the course as well as the coursework that assesses these outcomes. Course Learning Outcome Analyze data and apply empirical or theoretical methods to guide decisionmaking. Interpret mathematical models, formulas, graphs, and tables, and draw inferences from them. Choose appropriate models for a given problem, using information from observed or deduced data and knowledge of the system being studied. Employ quantitative methods, mathematical models and/or statistics to develop well-reasoned arguments to identify and solve real world problems beyond the level of basic algebra, while also being able to recognize the limitations of mathematics and statistics. Program Outcomes & Competencies UBGE, SUNY Mathematics, MSCHE Quantitative Reasoning, MSCHE Critical Analysis & Reasoning UBGE, SUNY Mathematics, MSCHE Quantitative Reasoning, MSCHE Critical Analysis & Reasoning UBGE, SUNY Mathematics, MSCHE Quantitative Reasoning, MSCHE Critical Analysis & Reasoning UBGE, SUNY Mathematics, MSCHE Quantitative Reasoning, MSCHE Critical Analysis & Reasoning Delivery Lecture Clicker questions Course Lecture Clicker Questions Readings Short films Class discussion Preparation for Mini Research paper Lecture Readings Short Films Class discussion Assessment Mini Research Paper Computation HW assignments Exams Algebra Review & Summation Notation Math Quiz Mini Research Paper Exams Mini Research paper Data Homework Assignments Mini Research Paper Computational clicker questions Exams

6 6 Course Learning Outcome Recognize common mistakes in empirical and deductive reasoning, and mathematical and quantitative problem solving. Express inferences and conclusions in writing. Program Outcomes & Competencies UBGE, SUNY Mathematics, MSCHE Quantitative Reasoning, MSCHE Critical Analysis & Reasoning UBGE, SUNY Basic Communication, MSCHE Written Communication Delivery Lecture Readings Lab discussion Clicker Questions Short films Readings Lecture Extra Credit Presentation Preparation for mini Research Paper Assessment Analytical Clicker Questions Exams Mini Research Paper Note: UBGE = UB General Education; SUNY categories in the above table are those required by the SUNY General Education Program ( and MSCHE categories represent the areas of general education required by the Middle States Commission on Higher Education.

9 9 Section II: Bivariate Analyses Week 6 (10/5-10/9): Chapter 5 Cross Tabulation Week 7 (10/12-10/16): Chapter 6 The Chi-Square Test of Statistical Significance Data Analysis Homework Assignment Distributed The homework is due by the beginning of class on Tuesday 5/5. All extra-credit homework presentations must be completed by 12/9. Extra credit slots are assigned on a first-come first served basis. Students must place their name on the extra credit sign up sheet by 12/2. Week 8 (10/19-10/23): Chapter 7 Measures of Association for Cross-Tabulations Week 9 (10/26-10/30): Chapter 8 Comparison of Means and T Tests Week 10 (11/2-11/6): Chapter 8, REVIEW, and SECOND EXAM

10 10 Section III: Bivariate and Multivariate Analyses Week 11 (11/9-11/13): Chapter 9 ANOVA -Work on your Mini Research Paper! Week 12 (11/16-11/20): Chapter 10 Regression and Correlation Week 13 (11/23-11/27): Chapter 11 Multivariate Cross Tabulation Monday 11/23: Chapter 11 Wednesday 11/25: No Class for Fall Break Friday 11/27: No Class for Fall Break Week 14 (11/30-12/4): Chapter 11 Multivariate Cross Tabulation Week 15 (12/7-12/11): Chapter 12 (for comprehension only), Review and EXAM Wednesday 12/9: Homework Assignment Due at the beginning of class. (Assignments may not be ed. Hard copies may be turned in before this date). Friday 12/11: THIRD EXAM Friday 12/18: FINAL EXAM 11:45-2:45, NSC 210 HAVE A GREAT WINTER BREAK!

### Office Hours: Mon & Fri 10:00-12:00. Course Description

1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 4 credits (3 credits lecture, 1 credit lab) Fall 2016 M/W/F 1:00-1:50 O Brian 112 Lecture Dr. Michelle Benson mbenson2@buffalo.edu

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