Psychology 274 (52455) Introduction to Psychological Statistics Spring :30 to 10:50 am, Tuesday & Thursday SGM 601

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

Course Description. Student Learning Outcomes

Sociology 521: Social Statistics and Quantitative Methods I Spring Wed. 2 5, Kap 305 Computer Lab. Course Website

Sociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab. Course Website

SAT & ACT PREP. Evening classes at GBS - open to all Juniors!

FINANCE 3320 Financial Management Syllabus May-Term 2016 *

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

Stochastic Calculus for Finance I (46-944) Spring 2008 Syllabus

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

MAT 122 Intermediate Algebra Syllabus Summer 2016

*In Ancient Greek: *In English: micro = small macro = large economia = management of the household or family

Foothill College Summer 2016

STA 225: Introductory Statistics (CT)

Spring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209. SYLLABUS and COURSE INFORMATION.

Probability and Statistics Curriculum Pacing Guide

Year 11 Banana Schedule 2017


Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

Math 96: Intermediate Algebra in Context

FINN FINANCIAL MANAGEMENT Spring 2014

Please read this entire syllabus, keep it as reference and is subject to change by the instructor.

Examination Timetables Series to Series

HISTORY 108: United States History: The American Indian Experience Course Syllabus, Spring 2016 Section 2384

PSYCHOLOGY 353: SOCIAL AND PERSONALITY DEVELOPMENT IN CHILDREN SPRING 2006

EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

A minimum of six (6) T1 or T2 Team Leaders and thirty (30) L1 or L2 Leadership Facilitators (see Facil. app.)

CHEMISTRY 104 FALL Lecture 1: TR 9:30-10:45 a.m. in Chem 1351 Lecture 2: TR 1:00-2:15 p.m. in Chem 1361

Instructor: Khaled Kassem (Mr. K) Classroom: C Use the message tool within UNM LEARN, or

Math 181, Calculus I

Nutrition 10 Contemporary Nutrition WINTER 2016

Phys4051: Methods of Experimental Physics I

FISK. 2016/2018 Undergraduate Bulletin

CS/SE 3341 Spring 2012

Course Policies and Syllabus BUL3130 The Legal, Ethical, and Social Aspects of Business Syllabus Spring A 2017 ONLINE

Phone: Office Hours: 10:00-11:30 a.m. Mondays & Wednesdays

Instructor: James Michael Fortney. Office Hours: MON 1-3 WED 1-3

GERM 3040 GERMAN GRAMMAR AND COMPOSITION SPRING 2017

Spring 2016 Stony Brook University Instructor: Dr. Paul Fodor

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Syllabus for CHEM 4660 Introduction to Computational Chemistry Spring 2010

Economics 100: Introduction to Macroeconomics Spring 2012, Tuesdays and Thursdays Kenyon 134

S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y

Course Syllabus Chem 482: Chemistry Seminar

THE UNIVERSITY OF SYDNEY Semester 2, Information Sheet for MATH2068/2988 Number Theory and Cryptography

ENEE 302h: Digital Electronics, Fall 2005 Prof. Bruce Jacob

Table of Contents. Fall 2014 Semester Calendar

Class meetings: Time: Monday & Wednesday 7:00 PM to 8:20 PM Place: TCC NTAB 2222

Spring Course Syllabus. Course Number and Title: SPCH 1318 Interpersonal Communication

CALCULUS III MATH

MATH 1A: Calculus I Sec 01 Winter 2017 Room E31 MTWThF 8:30-9:20AM

Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering

Theory of Probability

Course Syllabus. Alternatively, a student can schedule an appointment by .

ASTRONOMY 2801A: Stars, Galaxies & Cosmology : Fall term

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ;

ITSC 1301 Introduction to Computers Course Syllabus

Instructor: Mario D. Garrett, Ph.D. Phone: Office: Hepner Hall (HH) 100

BIOH : Principles of Medical Physiology

Master's degree students

Music in World Cultures, MHL 143 (34446)

Fall 2016 ARA 4400/ 7152

MTH 215: Introduction to Linear Algebra

SYLLABUS. EC 322 Intermediate Macroeconomics Fall 2012

BI408-01: Cellular and Molecular Neurobiology

733A46 International and European Security, 7,5 ECTS Credits: Course Guide

MATH Study Skills Workshop

ACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014

Military Science 101, Sections 001, 002, 003, 004 Fall 2014

Class Schedule

Department of Anthropology ANTH 1027A/001: Introduction to Linguistics Dr. Olga Kharytonava Course Outline Fall 2017

Faculty of Health and Behavioural Sciences School of Health Sciences Subject Outline SHS222 Foundations of Biomechanics - AUTUMN 2013

PGCE Trainees' Handbook (With Post-16 Enhancement)

Physics XL 6B Reg# # Units: 5. Office Hour: Tuesday 5 pm to 7:30 pm; Wednesday 5 pm to 6:15 pm

Intensive English Program Southwest College

Syllabus - ESET 369 Embedded Systems Software, Fall 2016

COURSE NUMBER: COURSE NUMBER: SECTION: 01 SECTION: 01. Office Location: WSQ 104. (preferred contact)

Science Fair Rules and Requirements

Fall Instructor: Dr. Claudia Schwabe Class hours: T, R 12:00-1:15 p.m. Class room: Old Main 304

Course Syllabus for Math

GENERAL CHEMISTRY I, CHEM 1100 SPRING 2014

Class Meeting Time and Place: Section 3: MTWF10:00-10:50 TILT 221

INTRODUCTION TO SOCIOLOGY SOCY 1001, Spring Semester 2013

FORENSIC SCIENCE SYLLABUS - AMENDED SPRING SEMESTER 2014

Syllabus for Philosophy of Mathematics Thomas Donaldson; Winter Quarter, 2015

Is there a limit to how often I can attempt the Irish Language Requirement by this method?

GAT General (Analytical Reasoning Section) NOTE: This is GAT-C where: English-40%, Analytical Reasoning-30%, Quantitative-30% GAT

CS 101 Computer Science I Fall Instructor Muller. Syllabus

Handbook for University of Ballarat International Students

BA 130 Introduction to International Business

A Study of the Effectiveness of Using PER-Based Reforms in a Summer Setting

CTE Teacher Preparation Class Schedule Career and Technical Education Business and Industry Route Teacher Preparation Program

Office Location: LOCATION: BS 217 COURSE REFERENCE NUMBER: 93000

THE FIELD LEARNING PLAN

CHEM:1070 Sections A, B, and C General Chemistry I (Fall 2017)

POLSC& 203 International Relations Spring 2012

CS 1103 Computer Science I Honors. Fall Instructor Muller. Syllabus

Foothill College Fall 2014 Math My Way Math 230/235 MTWThF 10:00-11:50 (click on Math My Way tab) Math My Way Instructors:

PROFESSIONAL TREATMENT OF TEACHERS AND STUDENT ACADEMIC ACHIEVEMENT. James B. Chapman. Dissertation submitted to the Faculty of the Virginia

Functional Skills Mathematics Level 2 sample assessment

Transcription:

Psychology 274 (52455) Introduction to Psychological Statistics Spring 2012 9:30 to 10:50 am, Tuesday & Thursday SGM 601 Professor: Text: David A. Walsh, Ph.D. Seeley G. Mudd Building, Rm 710 Phone (213) 740-2275 email dwalsh@usc.edu 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 $10-15. 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

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) 740-0776. 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 http://www.usc.edu/student-affairs/sjacs/forms/tio.pdf. 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

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. 448-461) Tues 4/3 Analysis of frequency data with the chi square test. Chp. 15 (pp. 448-461) 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 email Fri 2:00P - 3:50P 52456 Andrew Larsen allarsen@usc.edu Mon 10:00A - 11:50A 52457 Andrew Larsen allarsen@usc.edu Wed 8:00A - 9:50A 52458 Jared Reser jaredreser@yahoo.com 4

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. 23-24 1, 3 a-d; p. 26-1-4; p. 29-30 1, 2, 3; p. 31-32 - 1-3; 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. 64-66 - 5, 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. 84-85 - 1/30 to 3, 5, 6 2/3 1/26 Ch. 5 p. 88-1, 2, 3; p. 96-1, 3; p. 99-1; pp. 100-101 - 3, 4 1/30 to 2/3 1/31 Ch. 6 p. 110-1, 2, 4 a, c, e, g, k, i; p. 120-1, 2 a, b, c, 3 a, b; p. 127-1, 3, 4, a, b, c, 5 a, b; p. 131-133 - 4, 5, 6, 8, 11 2/6 to 2/10 2/2 Ch. 7 p. 139-1, 2 p. 148 1, 4, 5, 6 a, b, 7; p. 148 1, 2, 3, 6 a, b; p. 151 1,2; p. 154-155 1, 2, 3, 8 a, b, c 2/6 to 2/10 2/14 Ch. 8 p. 168 1, 2, 4, 6; p. 172 3, 5, 6; 2/20 to 2/24 2/16 Ch. 8 p. 181 1a,b, 2a,b, 3a,b, 4, 5, 6; p. 187 1, 2, 3, 4; pp. 188-189 1, 2, 3, 4, 5, 13 2/20 to 2/24 2/21 Ch. 9 p. 198 1, 2, 3, 4, 5; p. 1, 2, 3d; p. 213 1, 3, 6, 9 (problem 1 only) 2/27 to 3/2 2/23 Ch. 9 p. 222-1, 2, 4a & d, 5, 6, 7 (Report 1); p. 226-1, 2; p. 232-6 2/27 to 3/2 2/28 Ch 10 p. 251-1, 3, 5, 6, 7, 10, 13, 16, 19 3/5 to 3/9 3/1 Ch 10 p. 260-1, 2, 3, 5, 13 (Exp 6-10), 14, 15; p. 277-281 - 1, 4, 5, 10 3/5 to 3/9 3/20 Ch 11 p. 289-1, 2a,b,c,d,e; 3 (Table 1) p. 299-1, 2, 3, 4, 6, 8, 12, 13, 14, 17 (Table 1) 3/26 to 3/30 3/27 Ch 11 p. 305-1, 5, 9, 10 (Table 1); p. 315-1, 2(Table 1 & 4) 4/2 to p. 329 3, Report 1 & Report 2; p.334-335 - 4, 5 (Table 4/6 1), 6 3/29 Ch 15 p. 459-460 1, 2, 4, 6, 7c, 8 4/2 to 4/6 4/5 Ch 13 p. 375-372 1, 3, 4; p. 385-1, 2, 3 4/9 to 4/13 4/16 to 4/20 4/10 Ch 13 p. 393-1, 2, 4, 6; p.400-401 - 1, 2, 4, 6; 404-3 (use definitional formula); p. 408-9 4/17 Ch 14 p. 416-1, 2, 4; p. 425-1, 3; p. 431-1, 2, 3, 4, 6, 7; 4/23 to 4/27 4/24 Ch 14 p. 438-2; p. 440-2; p. 442-6 5/3 in TA Mailbox 5