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

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1 1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 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 Office: 513 Park Hall Office Hours: Mon & Fri 10:00-12:00 Labs Assaf Almutairi (assafmoh@buffalo.edu) Deniz Dolun (denizdol@buffalo.edu) Office : 515 Park Hall 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 results from a mini-research paper. 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.

5 5 Exams You are required to bring a calculator and a #2 lead pencil to exams. The calculator should be able to do square roots. However, the calculator should not be programmable with statistical formulas. To prepare for the exams you are strongly encouraged to attend class and do all of the readings. Exam questions will be based on class material and readings, even if material in the readings was not covered in class. Cell phones and the like may not be used or turned on during exams. I understand that sometimes, because of special circumstances, you do not perform as well on an exam as you normally do. If this happens, come talk with me immediately to discuss the situation do not wait until the semester has almost ended. If, for any reason (e.g., illness), you expect that you might not be able to make it to an exam, you must contact me before the exam. Failure to do so will result in a zero grade for that exam. Medical absences for an exam will require an independent doctor s note (not a family member) explaining that you were too ill to attend the exam. Students may take the exam early if prior arrangements have been made. Students may not take the exam after the exam date. Students caught cheating on an exam will be dealt with following UB s policy on academic integrity (available at: The Final Exam will be scheduled during Final Exam week. Optional Homework Assignments from the Book There are three optional homework assignments posted on UB learns. Completing the homework assignments will serve as an important aid in studying for the exams. Answers to the homework assignments will be posted on UB learns before the exams. Students are encouraged to discuss the homework assignment questions with myself or the teaching assistant. Intellectual Property Course materials that I (Michelle Benson) have prepared, together with the content of all lectures and materials presented and prepared by me in this course, are my intellectual property. Video, audio, and photographic recording of lectures is prohibited without my explicit permission. Use of handouts (and all other material) for any purpose other than studying for this course without first obtaining my consent is prohibited. The selling or dissemination of exams, study guides, homework assignments, and notes derived from my lectures is also prohibited without my explicit permission.

6 6 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 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 Lab sessions Clicker questions Course Lecture Clicker Questions Readings Short films Class discussion Preparation for Mini Research paper Lecture Readings Short Films Class discussion Lab discussion Assessment Mini Research Paper Computation HW assignments Exams Algebra Review & Summation Notation Math Quiz Graphic and Computational HW Assignments Mini Research Paper Exams Mini Research paper Data Homework Assignments Mini Research Paper Computational and Data Analysis Homework Assignments Computational clicker questions Exams

7 7 statistics. 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 Computational homework assignments 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 COURSE SCHEDULE Section I: Univariate Analyses Week 1 (8/29-9/2): Introduction, Math Review Chapter 1 Statistics and Variables During this week please read the math review available on UB learns in Course Documents. During this week, please also purchase your clicker/responseware and register your device on UB learns ( All students must create a turning technologies account and register their device or their responseware. Week 2 (9/5-9/9): Chapter 1 Statistics and Variables Chapter 2 Frequency and Percentage Distributions Math Quiz 9/5: No class (Labor Day) Wednesay, 9/7: Wednesday, 9/7: Clicker Questions begin today (you must have purchased and registered your clickers by this date). Be sure to check your clicker responses in UBlearns to be sure your answers are being recorded appropriately. MATH QUIZ Week 3 (9/12-9/16): Chapter 3 Averages Week 4 (9/19-9/23): Chapter 4 Measures of Variation and Confidence Intervals Week 5 (9/26-9/30) : Review and First Exam First Homework Assignment Due in Lab Friday (9/30): FIRST EXAM

10 10 Section II: Bivariate Analyses Week 6 (10/3-10/7): Chapter 5 Cross Tabulation Week 7 (10/10-10/14): Chapter 6 The Chi-Square Test of Statistical Significance Mini Research Paper Assignment Distributed (Due Wednesday, 12/7) This assignment is due by the last week of classes. All extra-credit homework presentations must be completed by the last week of classes. 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 the tenth week of class. Week 8 (10/ ) Chapter 7 Measures of Association for Cross-Tabulations Week 9 (10/24-10/28): Chapter 8 Comparison of Means and T Tests Week 10 (10/31-11/4): Review and Second Exam Second Homework assignment due in Lab Friday (11/4): SECOND EXAM

11 11 Section III: Bivariate and Multivariate Analyses Week 11 (11/7-11/11): Chapter 9 ANOVA -Work on your Mini Research Paper! Weeks 12 (11/14-11/18): Chapter 10 Regression and Correlation -Work on your Mini Research Paper! Week 13 (11/21-11/25): Chapter 10 Regression and Correlation 11/23-11/24: No Class for Thanksgiving Break Week 14 (11/28-11/2): Chapter 11 Multivariate Cross Tabulation -Work on your Mini Research Paper! Week 15 (12/5-12/9): Review and Third Exam Third Assignment Due in Lab Wednesday (12/7): Friday (12/9): Last day to turn in Mini Research Paper THIRD EXAM Exam Week (Friday 12/16): Friday (12/16): FINAL EXAM 11:45-2:45 at O Brian 112 HAVE A GREAT WINTER BREAK!

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