SPEA-K300 Statistical Techniques Course School of Public and Environmental Affairs COURSE SYLLABUS SPRING 2015

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1 SPEA-K300 Statistical Techniques Course School of Public and Environmental Affairs COURSE SYLLABUS SPRING 2015 Class Time: T R 9:30am 10:45am Professor: Dr. Henry K. Wakhungu hewakhun@indiana.edu Phone: (SPEA) (Home) (Leave message) TA: Martin Medicus Vanessa Dove UTA: Valerie Repischak TAs & UTA Availability: By Appointment Classroom: PV 169 Office: SPEA 427 Office Hrs: MW 10:00am am Mailbox: SPEA 4 th Floor Secretary: Charlie Lynn Abbott TA s mmedicus@indiana.edu vdove@umail.iu.edu UTA s vrepisch@umail.iu.edu Course Description: This course provides an introduction to basic statistical analysis and interpretation. Topics covered in this course include (but are not limited to) the following: the nature of statistical data, ordering and manipulation of data, measures of central tendency, probability, statistical inferences, hypothesis testing, estimation and correlation and regression. The focus of this course is on the practical application and interpretation of statistics for intelligent functioning in a professional or academic environment. As such, the course simulates the real environment as much as possible, comprised of peers and resources to aid in statistical application and interpretation. While it is necessary to demonstrate individual mastery of the key concepts taught in this course, it is equally imperative to develop skills and techniques to apply statistical knowledge in a practical setting. Course Objectives: By the end of this course, students should be able to use basic statistical techniques to describe and aggregate raw data observed in professional and academic settings. Students should also be able to begin to make inferences and form hypothesis about the data and relationships between variables. Finally, students should be able to interpret basic statistical analyses as presented in the professional or academic environment. Required Texts/ Materials/Resources: 1. Bluman 7 th edition (2015). Elementary Statistics: Brief Custom Version by McGraw-Hill (Connect Math/LearnSmart Digital Resources plus Access code). 2. Minitab computer software 3. Microsoft Excel 4. SPSS

2 5. TI-83 Calculator 6. Walk-in Tutoring/Help Sessions: Monday Thursday in PV 277 from 7-9pm. SPSS and Microsoft Excel software are available through some of the university computer clusters. Connect Math On-Line Management Software is available at Note: Prerequisite for this class is M014 or equivalent. Students should have an understanding of basic high school algebra, and should be able to navigate Microsoft Excel and Microsoft Word applications. Oncourse: Oncourse will be used throughout the course and should be checked on a regular basis for announcements and assignments. All homework assignments will be posted to Oncourse on the date assigned in the syllabus; they will not be distributed in class or by . If you are unable to access oncourse for any reason, please notify me immediately. Class Policies: 1. Homework assignments must be turned in on-line or in-class individually. However, discussing assignments in groups prior to completion is strongly encouraged. 2. Late assignments (homework or project) will be penalized one letter grade per day (10%) unless given prior approval by the instructor for extenuating circumstances. 3. Make up exams will be given only for proven and substantiated extenuating circumstances. Make up exams will be different, and generally more difficult than the exams given at the scheduled time. Per school policy, the final exam must be taken at the scheduled time (different than normal class time). It is your responsibility to ensure that you have no conflicts with the final exam time. 4. Students are expected to attend class and arrive on time. Absence from class and continued tardiness will result in a lower participation grade. 5. All cell phones and pagers should be silent or turned off while class is in session.

3 Assignments/ Grading: Course grades will be assigned based upon the following distribution: Assignment Points = % Final Grade Homework 30 points each) 200 = 20% Quizzes 12 points each) 120 = 12% Exam = 15% Exam = 15% Exam = 20% Group Research Project 130 = 13% Participation/ Attendance 50 = 5% TOTAL 1000 = 100% Grading Scale (Rounded to one decimal place) = A = A = A = B = B = B = C = C = C = D = D = D- Homework Throughout the course, you will complete 10 on-line homework assignments, each covering one chapter of the material. In the syllabus, the homework assignments are designated as follows: assignment number chapter. For example, homework 1 is the first of the ten homework assignments, and covers chapter one in the Bluman text. You will be given complete assignments at least one week in advance of their due date. You are encouraged to discuss the assignments with your peers, however, the finished product turned in MUST BE YOUR OWN WORK. Understanding the homework assignments is critical to performing well on the exams. The on-line homework assignments will comprise 200 points of your final grade, or 20 points for each 10 chapter HW assignment. Homework assignments are due on the online due date (date posted on the syllabus). Late homework assignments will be penalized 10% per day late.

4 Quizzes You will complete 10 on-line quizzes each covering one chapter of the material. The quizzes will be assigned after the chapter homework assignments have been submitted. Exams Three exams will comprise 500 points of your final grade. Each exam will cover predominantly the material covered in the prior class sessions, as listed in the syllabus; however some cumulative knowledge is necessary to interpret and apply the statistical tools. Exams 1, 2 (150 points each), and 3 (will be worth 200 points) of your final grade. Exams will include problems similar to those completed on homework assignments, and therefore a critical understanding of homework assignments is necessary for performing well on the exams. You will not be required to memorize formulas for the exams; however, you will need to know when to apply a particular formula to a given problem. In addition to solving problems, exams will likely contain short answer essays asking for interpretation of data presented. Group Research Project (Report and Presentations) (Please refer to the Group Project Guide, handed out separately and available on Oncourse for this class.) Because of the emphasis in this course on practical application of statistical knowledge in preparation for real world experiences, a portion of your course grade (130 points) will consist of an applied group statistical analysis project. Due to the large number of students enrolled in this class, groups will consist of 5 members each, unless otherwise notified or approved by the instructor. A list of group members will be self-selected and submitted to the instructor for approval by the 2 nd class session. The Research Project is cumulative in nature and it is therefore a good idea to meet with your group members regularly throughout the semester. In addition, group members may serve as excellent resources when completing homework assignments and preparing for exams. The grade for the group project (100 points total), will be based on the following: Individual Effort (as evaluated by group members) 10 Project Presentation 30 Professionalism (5) Clarity of Presentation (10) Visual Aids (5) Appropriateness of Statistical Methods (10) Project Report 90 Total Possible Points 130

5 Participation and Attendance: Because of the importance of active in-class discussion and participation, 50 points of your final grade is based on your attendance and participation in class. More than 2 unexcused absences WILL result in a reduction of your participation grade. Additionally, it imperative that you become an active participant in class discussions, including asking questions, volunteering to solve problems on the board and participating in class activities. Failure to participate will also result in a reduction of your participation grade. Policy on Incompletes: There will be no incomplete grades except under extraordinary circumstances with the appropriate documentation, in accordance with the IU Academic Handbook. Academic Dishonesty: Academic misconduct will be treated according to current IU regulations in the Code of Student Rights, Responsibilities and Conduct (See Academic Misconduct: and Jurisdiction Concerning Misconduct, Each student should understand his or her rights and responsibilities under the Code. For example, under the Code of Student Rights, Responsibilities and Conduct, a student must give credit to the work of another person when he/she does any of the following: a. Quotes another person s actual words, either oral or written; b. Paraphrases another person s words, either oral or written; c. Uses another person s idea, opinion, or theory; or d. Borrows facts, statistics, or other illustrative material, unless the information is common knowledge. This also entails that you MAY NOT copy homework from another student, either in whole or in part, for this course. Students with disabilities note If you are registered with the IU Office of Disabled Student Services as having a disability that requires special consideration in the administration of exams, a written request for accommodation must be made by the end of the second week of class. The IU Office of Disabled Student Services can be reached at Disclaimer This syllabus is subject to change and may be amended throughout the course to reflect any changes deemed necessary by the instructor.

6 Course Schedule Date Topic Text/ Assignments 1/13 Introduction to the course The Nature of Probability & Statistics: Descriptive & Inferential Statistics; Variables & Types of Data 1/15 Data Collection & Sampling Techniques; Observational & Experimental Studies; Uses & Misuses of Statistics; & Computers and Calculators 1/20 Frequency Distributions & Graphs Organizing Data 1/22 Histograms, Frequency Polygons and Ogives Other Types of Graphs 1/27 Data Description: Measures of Central Tendency Review syllabus and assignments, course expectations including Group Research Project Ch1: pp 1-9 Proposed Research Group Listing (Homework 1-1 assigned) Ch1: pp 9-35 (Quiz 1 assigned) Ch2: pp Homework 2-2 assigned (due on 1/27) Quiz 2 assigned HOMEWORK 1-1 DUE Quiz 1 DUE Ch2: pp Ch2: pp /29 Measures of Variation Ch3: pp /3 Measures of Position Exploratory Data Analysis 2/5 Probability & Counting Rules: Sample Spaces & Probability 2/10 Probability Rules/ Exam Review Ch4: pp Quiz 4 DUE 2/12 EXAM 1 (Chapters 1-4) Ch5: pp Ch3: pp Homework 3-3 assigned (due on 2/3) Quiz 3 assigned Quiz 2 DUE Ch3: pp Ch3: pp Homework 4-4 assigned (due on 2/10) Quiz 4 assigned Quiz 3 DUE Ch4: pp

7 2/17 Discrete Probability Distributions Probability Distributions Mean Variance, Standard Deviation and Expectation 2/19 Binomial and Other Distributions Ch5: pp ; Ch5: pp HOMEWORK 5 OPEN Ch5: pp /24 The Normal Distribution Normal Distributions 2/26 Applications of the Normal Distribution The Central Limit Theorem The Normal Approximation to the Binomial Distribution 3/3 Confidence Intervals and Sample Size C.I for the Mean when d is Known C.I for Mean when d is Unknown 3/5 C.I & Sample Size for Proportions, C.I for Variances and Standard Deviations Exam Review 3/10 Exam #2 (CHAPTERS 5-7) Ch6: pp ; HOMEWORK 6 OPEN QUIZ 5 OPEN Ch6: pp Ch6: pp HOMEWORK 5 DUE QUIZ 5 DUE Ch7: pp ; Ch67 pp HOMEWORK 7 OPEN QUIZ 6 OPEN Ch7: pp ; Homework 7-7 assigned Ch6: pp HOMEWORK 6 DUE QUIZ 6 DUE QUIZ 7 OPEN 3/12 Hypothesis Testing: Traditional Method z & t test for a Mean (P-value method) Ch8: pp ; Ch8: pp HOMEWORK 8 OPEN HOMEWORK 7 DUE QUIZ 7 DUE 3/17 SPRING BREAK (NO CLASSES) 3/19 3/24 Z Test for Proportion Chi-2 Test for Variance or S.D. Ch8: pp ; QUIZ 8 OPEN (Monday 3/19)

8 3/26 Testing Differences Ch9: pp Ch9: pp ; HOMEWORK 9 OPEN 3/31 Correlation & Regression Ch10: pp /2 Scatter Plots & Correlation Regression 4/7 Coefficient of Determination & Standard Error of the Estimate Ch10: pp ; HOMEWORK 10 OPEN HOMEWORK 8 DUE QUIZ 8 DUE Work on Research Project; QUIZ 9 OPEN 4/9 Multiple Regression Ch10: pp ; HOMEWORK 9 DUE QUIZ 9 DUE 4/14 RESEARCH PROJECT PRESENTATIONS; 4/16 RESEARCH PROJECT PRESENTATIONS; 4/21 RESEARCH PROJECT PRESENTATIONS; 4/23 Final Exam Review 4/28 EXAM #3 (Chapters 9-10) RESEARCH PROJECTS DUE QUIZ 10 OPEN HOMEWORK 10 DUE QUIZ 10 DUE 5/1 RESEARCH PROJECT PRESENTATIONS; 5/4 FINALS WEEK Bahati Njema! Mazel Tov!