# MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS

Size: px
Start display at page:

## Transcription

4 Drops and Incompletes: Students can drop through SOLAR during the first four weeks of instruction. Drops after the fourth week are rarely approved. Incompletes have several stringent conditions, the most important of which is that a student who requests an incomplete must be doing passing work at the time the incomplete is granted. Student Conduct and Cheating: You are expected to act according to the Student Conduct Code (see the current College Catalog or Schedule of Classes). Cheating will not be tolerated. During tests and quizzes all extraneous objects are to be removed from your workspace. Violators are subject to instructor and college disciplinary action. Below are two lists indicating what you will learn in this class. The first (Course Goals) is brief, while the second (Essential Course Learning Outcomes) is an expanded and more detailed itemization of the course material: Course Goals Learn how to construct and interpret graphical and numerical summaries of data Understand many of the fundamental ideas of statistics, such as variability, distribution, association, sampling Understand how the nature of data collection methods affects the scope of the conclusions that can be drawn from statistical studies (especially cause and effect); the role of probability in sampling and experiments Learn the normal distribution and the Central Limit Theorem Learn the basics of statistical inference: estimation, assessing statistical significance, statistical reasoning; apply and interpret the results of a variety of statistical techniques Analyze and assess statistical arguments, such as those found in the popular press and scholarly publications; Learn about correlation and regression Communicate knowledge of statistical ideas effectively Essential Course Learning Outcomes The following outline lists the key learning objectives that are contained in this course. In order for you to achieve a successful outcome from this class (i.e., learning well and earning a good grade) you must learn all or nearly all of the items listed below. This list consists of the essential main ideas, terminologies and techniques in the course; however, there are many subtopics not listed that are also important to learn. The study guides that will be made available before each exam will indicate these more completely. You should refer to this list throughout the semester to check on your learning progress. You can also use this outline as your top level study guide for the final exam. I. The Big Picture (OLI Introduction & 1 st page of Unit 1) A. Know the Big Picture of Statistics. B. Know what exploratory data analysis is. C. Know what statistical inference is.

5 II. Exploratory Data Analysis (OLI Unit 1) A. Be able to classify a situation involving data according to the number and type of variables involved. For data on a single variable (OLI Module 1), know whether that variable is quantitative or categorical. For data on two variables (OLI Module 2), know the Role-Type Classification, and make sure to know how to identify the response variable and the explanatory variable. B. Know which numerical summaries and graphical procedures are appropriate for each of the situations referred to in A. C. Know how to obtain the numerical summaries and construct the graphical procedures referred to in B. D. Know how to interpret graphical and numerical summaries of data, including being able to identify the key features of graphical displays such as histograms, dotplots, boxplots, scatterplots, etc. E. Know the Standard Deviation Rule and what type of distributions it applies to. F. Know how to assess the nature and strength of an association between two variables. G. Know how to use linear regression to predict the value of a response variable from a given value of the explanatory variable. III. Types of Samples and their Properties (OLI Module 3) A. Know the different types of sampling. B. Understand the meaning of bias in sampling. C. Know that random sampling eliminates bias. D. Know what a simple random sample is. IV. Types of Studies; Experimental Design (OLI Module 4) A. Know the difference between observational studies and experiments. B. Know the key components of an effective experimental design comparison, randomization, and where applicable, blindness. C. Know what lurking (confounding) variables are. D. Know that cause and effect conclusions cannot confidently be made from observational studies because of the possible presence of lurking variables. E. Know that only randomized controlled experiments allow cause and effect conclusions to be drawn with confidence. V. Working with Z-Scores and Normal Distributions (OLI Module 6, Normal Random Variables part) A. Know the formula for a Z-score. B. Know how to interpret Z-scores in context. C. Know how to determine probabilities from a normal table given the mean, standard deviation and interval for the variable (Example: Find the probability that an adult male is taller than 6 2 given that the mean and s.d. are 64.1 and 2.8, respectively.) D. Know how to determine the value of a variable that corresponds to a given percentage (Example: How tall does a man have to be to be within the top 10% of heights?)

6 VI. Statistical Inference: Terminology and Fundamental Concepts (Learning Statistical Inference Workbook supplement, OLI Modules 7-10 (parts)) A. Know the basic terminology of statistical inference: population, sample, parameter and statistic (point estimate). B. Be absolutely clear about what a sampling distribution is. Know what is meant by the term sampling variability. C. Know the Central Limit Theorem (both forms means and proportions). D. Be able to explain how sampling distributions are the foundation of inference. Know the role they play in (1) estimation and (2) hypothesis testing. E. Be able to explain what a confidence interval is. F. Know what is meant by the margin of error of an interval estimate (confidence interval). G. Know the meaning of the term confidence level. H. Appreciate that the validity of statistical inferences depends on using random sampling or a close approximation to it. I. Know that the accuracy of estimation depend on sample size but not generally on population size. J. Know how to draw the correct conclusion, in context, from a hypothesis test, depending on the calculated p-value: know that small p-values are evidence against the null hypothesis and in favor of the alternative, know that p-values that are not small show that the data is compatible with the null hypothesis but do not establish that it is true. K. Know the literal definition of p-value. L. Be able to judge the strength of the evidence given by the p-value according to how small it is. M. Know the effect of sample size on hypothesis tests. VII. Statistical Inference: Techniques (OLI Modules 9 through 11 (parts)) A. Know the general form of a confidence interval: point estimate ± margin of error, where the margin of error is a multiple of the standard error that depends on the confidence level. B. Know how to identify and use the correct confidence interval formula according to the situation involved (means, proportions, one sample, two independent samples, paired data). C. Know the basic terminology and components of a hypothesis test: null hypothesis, alternative hypothesis, test statistic, p-value, statistical significance. D. Know how to choose the null and alternative hypotheses. E. Know how to determine the p-value for both one-sided and two-sided alternatives. F. Know how to identify and use the correct testing procedure according to the situation involved (means, proportions, one sample, two independent samples, paired data). G. Know the relationship of two-sided hypothesis tests to confidence intervals i.e., how a confidence interval can indicate the result that a hypothesis test would produce at the corresponding significance level.

### LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

### STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd

STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd Instructor: Ms. Bonnie Kegan EMAIL: bkegan1@umbc.edu Contact Numbers: Mobile Phone: 410 507

Basic Business Statistics Dr. Daniel Murgo QMB 2100 Basic Business Statistics - Summer B 2016 Section 1 (Reference 905538) Meeting Times Class lectures will take place on Tuesdays and Thursdays from 1:40PM

### AP Statistics: Syllabus 1

AP Statistics: Syllabus 1 Scoring Components SC1 The course provides instruction in exploring data. 4 SC2 The course provides instruction in sampling. 5 SC3 The course provides instruction in experimentation.

### F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6

F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2 - C R N 8 1 1 2 6 Instructor: Larry L. Southard, M.A. Email: lsouthar@fgcu.edu Telephone: (239) 590-7420

### Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:

Lake-Sumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:

### PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive

### Register for CONNECT using the code with your book and this course access information:

Business Statistics Fall 2014 Dr. Osyk 6500:304-004 T TH 3:15 4:30 pm CBA 144 Instructor: Dr. Barbara A. Osyk bao@uakron.edu OFFICE: CBA 368 330-972-5439 OFFICE HOURS: T TH 8:30 9:00 am, 1:30 3 pm (And

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Course/ Meeting information Semester: Fall 2014 Section: TR01F Meeting Times: 5:30 PM Thursdays Location: 2N5

### STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009

STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 Instructor: Bill Welbourn Office: Lund 117 Email: bill.welbourn@aggiemail.usu.edu Lectures: MWF 7:30AM 9:40AM in ENGR 104 Office Hours:

### Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012

Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)907-4085 Office Hours: Truman College-Mathematics Department Math 125-CD: Introductory

### School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2

CCBC Essex School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CLASSROOM LOCATION: SEMESTER: Fall 2009 INSTRUCTOR: DONNA TUPPER OFFICE LOCATION: F-413 (or

### MATH 205 STATISTICAL METHODS

Syllabus Greetings and Salutations from the Land of Cool Sunshine! This course has been designed to be entirely online, including examinations. While it doesn't fit the traditional model of a college course,

### Los Angeles Pierce College. SYLLABUS Math 227: Elementary Statistics. Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400

Los Angeles Pierce College SYLLABUS Math 227: Elementary Statistics Fall 2011 T Th 4:45 6:50 pm Section #3307 Room: MATH 1400 Instructor: Pauline Pham Office hours: T Th: 4:00 4:35 PM, Room Math 1409X

### MAT150 College Algebra Syllabus Spring 2015

MAT150 College Algebra Syllabus Spring 2015 Instructor: Donna Guhse Email: Donna.Guhse@scottsdalecc.edu Phone: 480-423-6012 Office: CM 425 Office Hours: Mon/Wed 10:30 12:00 Tues/Thurs 1:00 1:50 (Wednesday

### DSCI 3710 Syllabus: Spring 2015

DSCI 3710 Syllabus: Spring 2015 CLASS (DAY/TIME): 090 Thursday 1:00 3:50 pm in Room 101, Founders Hall (Dal #2) 091 Monday 7:00 9:50 pm in Room 243, Founders Hall (Dal #2) INSTRUCTOR: Daniel D. Friesen

### MAT 282 STATISTICS 3 cr. (3-0) (online sections)

JOHN A. LOGAN COLLEGE J. Dethrow SM 11 MAT 282 STATISTICS 3 cr. (3-0) (online sections) COURSE DESCRIPTION: MAT 282 is designed to meet the needs of students requiring a statistics course with a college

### MAC 2233, STA 2023, and junior standing

I. QMB 3600: Quantitative Methods in Business (3 credits) II. Prerequisite Courses & Standing: MAC 2233, STA 2023, and junior standing III. Course Logistics: Fall 2011, Section 002 CRN 82290 M W 12:30

### Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course)

Governors State University College of Business and Public Administration Course: STAT 361-03 Statistics for Management I (Online Course) Instructor: Kevin M. Riordan, M.A. Session: Fall Semester 2011 Prerequisite:

### Alabama Department of Postsecondary Education. Representing The Alabama Community College System

Alabama Department of Postsecondary Education Representing The Alabama Community College System Central Alabama Community College MTH 100 Intermediate Algebra Prerequisite: MTH 092 or MTH 098 or appropriate

### MATH 205 STATISTICAL METHODS

Syllabus Objective MATH 205 STATISTICAL METHODS Course Syllabus The purpose of this syllabus is to guide the participant in the requirements, demands, logistics and expectations of this course. Getting

### QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

### STA2023 Introduction to Statistics Spring 2013. Class Website: http://www.hccfl.edu/faculty-info/jdenson3/sta2023-introduction-to-statistics.

Instructor: Jennifer Denson STA2023 Introduction to Statistics Spring 2013 Class Website: http://www.hccfl.edu/faculty-info/jdenson3/sta2023-introduction-to-statistics.aspx Contact Information: Email:

### QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209 Rajesh Srivastava, Ph.D. Professor and Chair, Department of Information Systems and Operations Management Lutgert

### Moraine Valley Community College Course Syllabus

Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours:

### Econometrics and Data Analysis I

Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:

### RANGER COLLEGE Math 1314 College Algebra - ONLINE

RANGER COLLEGE Math 1314 College Algebra - ONLINE ONLINE Instructor: Kimberly Calton Office Location: Early Campus Office Hours: Otherwise by appointment only Cell Phone: 512-914-8883 E-Mail: kcalton@rangercollege.edu

### Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Attendance Days (Hybrid Course)

Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Prerequisite Math 03 with a grade of C or better. Attendance Days (Hybrid Course) Wednesday, 7:00 PM to 8:50 PM Math 15 CRN 73008 is

### RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS

RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS I. Basic Course Information A. Course Number and Title: MATH 111H Statistics II Honors B. New or Modified Course:

### QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209

QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

### MTH 110: Elementary Statistics (Online Course) Course Syllabus Fall 2012 Chatham University

MTH 110: Elementary Statistics (Online Course) Course Syllabus Fall 2012 Chatham University Meeting Times: Online course Instructor: Mr. John Wenskovitch Email: jwenskovitch@chatham.edu Office: Buhl 218

### Florida State College at Jacksonville MAC 1105: College Algebra Summer Term 2011 Reference: 346846 MW 12:00 PM 1:45 PM, South Campus Rm: G-314

Florida State College at Jacksonville MAC 1105: College Algebra Summer Term 2011 Reference: 346846 MW 12:00 PM 1:45 PM, South Campus Rm: G-314 General Information: Instructor: Ronald H. Moore Office Hours:

### Social Work Statistics Spring 2000

The University of Texas at Austin School Of Social Work Social Work Statistics Spring 2000 Instructor: Jim Schwab Office: SSW 3.106b Phone Number: 471-9816 Office hours: Tuesday/Thursday, 2:00pm 4:00pm,

### MAT 103B College Algebra Part I Winter 2016 Course Outline and Syllabus

MAT 103B College Algebra Part I Winter 2016 Course Outline and Syllabus Instructor: Meeting Venue: Email: Caren LeVine Monday/Wednesday 6pm 7:50pm, E106 celevine@mail.ltcc.edu Office Hours (Outside The

### Math 3E - Linear Algebra (3 units)

Math 3E - Linear Algebra (3 units) Fall 2015 Peralta Class Code 40772 Berkeley City College Class Hours & Location: TuTh 11AM- 12:15PM, BCC Room 422 (Fourth Floor) Instructor: Patrick Zulkowski Office

### East Los Angeles College. Section 1806 C2 127A MT ThF 10:35AM 12:00noon MyMathLab CourseID:

East Los Angeles College MATH 105 Arithmetic Section 1806 C2 127A MT ThF 10:35AM 12:00noon MyMathLab CourseID: faradineh12885 Instructor: Office Hours: Rahim Faradineh, Phone: 323-260-8129, email: rfaradineh@gmail.com

### MATH 1314 College Algebra Departmental Syllabus

MATH 1314 College Algebra Departmental Syllabus Fall 2010 Catalog Description MATH 1314. College Algebra (3-3-0) This course is a study of solutions to equations and inequalities, algebraic functions and

### Online Basic Statistics

Online Basic Statistics Madison Area Technical College Fall 2013 Syllabus Course Information Catalog Number: 20-804-240 Class Number: 33342 Dates: 10/21/2013-12/20/2013 Credits: 4 Website: http://blackboard.madisoncollege.edu

### Prerequisite: MATH 0302, or meet TSI standard for MATH 0305; or equivalent.

18966.201610 COLLIN COLLEGE COURSE SYLLABUS Course Number: MATH 0305.XS1 Course Title: Beginning Algebra Course Description: With an emphasis on developing critical thinking skills, a study of algebraic

### Riverside City College Arithmetic-Pre-Algebra/Math 65 (48422), Fall 2014 MTSC 103-MTWTh: 06:00PM - 07:10PM

Riverside City College Arithmetic-Pre-Algebra/Math 65 (48422), Fall 2014 MTSC 103-MTWTh: 06:00PM - 07:10PM Instructor: Jesús Magaña Email: Jesus.Magana@rcc.edu Welcome to Mathematics: The course will cover

### Chapter 7: Simple linear regression Learning Objectives

Chapter 7: Simple linear regression Learning Objectives Reading: Section 7.1 of OpenIntro Statistics Video: Correlation vs. causation, YouTube (2:19) Video: Intro to Linear Regression, YouTube (5:18) -

### MATH 2 Course Syllabus Spring Semester 2007 Instructor: Brian Rodas

MATH 2 Course Syllabus Spring Semester 2007 Instructor: Brian Rodas Class Room and Time: MC83 MTWTh 2:15pm-3:20pm Office Room: MC38 Office Phone: (310)434-8673 E-mail: rodas brian@smc.edu Office Hours:

### UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math

### MAT 151 College Algebra and MAT 182 Trigonometry Course Syllabus Spring 2014

PLEASE READ THIS SYLLABUS CAREFULLY. IT IS THE POLICIES BY WHICH YOU MUST ABIDE FOR THIS CLASS. Instructor Information MAT 151 College Algebra and MAT 182 Trigonometry Course Syllabus Spring 2014 Instructor

### MATH 0312-61378: Intermediate Algebra

Topics include quadratics, polynomial, rational, logarithmic, and exponential functions; systems of equations; matrices; and determinants. A departmental final examination will be given in this COURSE

### IVY TECH COMMUNITY COLLEGE REGION 03 SYLLABUS MATH 136: COLLEGE ALGEBRA SUMMER 2013. Instructor: Jack Caster Telephone: 260-482-9171 ext.

IVY TECH COMMUNITY COLLEGE REGION 03 SYLLABUS MATH 136: COLLEGE ALGEBRA SUMMER 2013 Instructor: Jack Caster Telephone: 260-482-9171 ext. 2518 Classroom Number: CC1784 E-mail Address: jcaster@ivytech.edu

### MASTER COURSE SYLLABUS

MASTER COURSE SYLLABUS MAT 101 ~ BEGINNING ALGEBRA Course Number MAT 101 Course Title Beginning Algebra Credit Hours 3 Prerequisites A C or Higher in MAT 155 ~ Contemporary Mathematics or approved placement

### West LA College Mathematics Department. Math 227 (4916) Introductory Statistics. Fall 2013 August 26 -- December 9, 2013

Course Title West LA College Mathematics Department Math 227 (4916) Introductory Statistics Fall 2013 August 26 -- December 9, 2013 Instructor Information Instructor: Ms. W. Miao Office Hours: 7:55-8:30

### SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE

1 SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE COURSE TITLE Statistics I CATALOG NO MAT 103 CRN 21102, 22172, 23687 PREREQUISITE MAT007-Algebra I or equivalent INSTRUCTOR Professor Jane-Marie

### STAT 360 Probability and Statistics. Fall 2012

STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number

### SYLLABUS MAC 1105 COLLEGE ALGEBRA Spring 2011 Tuesday & Thursday 12:30 p.m. 1:45 p.m.

SYLLABUS MAC 1105 COLLEGE ALGEBRA Spring 2011 Tuesday & Thursday 12:30 p.m. 1:45 p.m. Instructor: Val Mohanakumar Office Location: Office Phone #: 253 7351 Email: vmohanakumar@hccfl.edu Webpage: http://www.hccfl.edu/faculty-info/vmohanakumar.aspx.

### COURSE DESCRIPTION. Required Course Materials COURSE REQUIREMENTS

Communication Studies 2061 Business and Professional Communication Instructor: Emily Graves Email: egrave3@lsu.edu Office Phone: 225-578-???? Office Location: Coates 144 Class Meeting Times and Locations:

### Statistical Methods Online Course Syllabus

VALENCIA COLLEGE EAST CAMPUS STA 2023 STATISTICAL METHODS (ONLINE COURSE) SYLLABUS Term/Year: Fall 2011 CRN: 11563/11615/13231/11839 Professor: Dr. Agatha Shaw E-mail: Blackboard Course E-Mail or ashaw17@mail.valenciaccollege.edu

### MAT 168 COURSE SYLLABUS MIDDLESEX COMMUNITY COLLEGE MAT 168 - Elementary Statistics and Probability I--Online. Prerequisite: C or better in MAT 137

MAT 168 COURSE SYLLABUS MIDDLESEX COMMUNITY COLLEGE MAT 168 - Elementary Statistics and Probability I--Online Prerequisite: C or better in MAT 137 Summer Session 2009 CRN: 2094 Credit Hours: 4 Credits

### POLS 3374, Section 2 (CID 80217) Quantitative Methods for Political Science Fall 2012, Online. Dr. Stacy G. Ulbig, Ph.D. CONTACT INFORMATION

POLS 3374, Section 2 (CID 80217) Quantitative Methods for Political Science Fall 2012, Online Dr. Stacy G. Ulbig, Ph.D. CONTACT INFORMATION E-mail: ulbig@shsu.edu Phone: 936-294-1468 Text: 936-274-3040

### Mathematics Department Course outline Statistics for Social Science 201-401-DW

Mathematics Department Course outline Statistics for Social Science 201-401-DW COURSE OBJECTIVES To introduce basic statistical concepts to social science students. For details, see Dawson Social Science

### Welcome to QMB 3200 Economic and Business Statistics - Online CRN 10609 Spring 2011* Elias T Kirche, PhD

Welcome to QMB 3200 Economic and Business Statistics - Online CRN 10609 Spring 2011* Elias T Kirche, PhD Office Location Lutgert Hall suite 3304 (239) 590-7325 ekirche@fgcu.edu Office Hours by appointment

### COURSE INFORMATION. 3. You learn the course policies and follow them.

Math 2413-1201-Calculus I-Lone Star College Math 1413-Calculus I - University of Houston Curriculum COURSE SYLLABUS Fall 2014 Lone Star College-North Harris Instructor: My Le Email: my.h.le@lonestar.edu

### Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer

### Prerequisite Math 115 with a grade of C or better, or appropriate skill level demonstrated through the Math assessment process, or by permit.

Summer 2016 Math 125 Intermediate Algebra Section 0179, 5 units Online Course Syllabus Instructor Information Instructor: Yoon Yun Email: yunyh@lamission.edu Phone: (818)364-7691 MyMathLab: MyMathLab.com

### CHEM 112-03 PRINCIPLES OF CHEMISTRY Lecture

CHEM 112-03 PRINCIPLES OF CHEMISTRY Lecture Spring 2016 COURSE DESCRIPTION An introductory course in chemistry emphasizing theoretical aspects and designed primarily for students who intend to take one

### Office phone: (414) 229 5269 Office phone: (414) 229 5105 Office: EMS E481 Office: EMS E 480

University of Wisconsin Milwaukee Mathematical Literacy for College Students I Syllabus Math 092 Section 013 (31559) Fall Semester 2015 Class Location: NWQ 1871 Class Time: Tuesdays and Thursdays from

### MAT187 Precalculus Spring 2016 Section 27756

MAT187 Precalculus Spring 2016 Section 27756 12:00-2:05 PM Instructor: Bill Johnson Office Location: CM 441A Phone: (480) 731-6581 (Math/Science Tutor Center) Math Office (leave message) Office Hours:

### MAC 1140 Reference # 640688 MWF 9:00 AM 9:50 AM Fall 2011 Rm. 3321

MAC 1140 Reference # 640688 MWF 9:00 AM 9:50 AM Fall 2011 Rm. 3321 Instructor: Mr. Douglas Scheib Email: dscheib1@mdc.edu Web Address: http://www.math.miami.edu/~dscheib/teaching/fall11/mac1140.htm Office

### Math 35 Section 43376 Spring 2014. Class meetings: 6 Saturdays 9:00AM-11:30AM (on the following dates: 2/22, 3/8, 3/29, 5/3, 5/24, 6/7)

Math 35 Section 43376 Spring 2014 Class meetings: 6 Saturdays 9:00AM-11:30AM (on the following dates: 2/22, 3/8, 3/29, 5/3, 5/24, 6/7) Instructor: Kathy Nabours Office: MTSC 133 Email: kathy.nabours@rcc.edu

### Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus

Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March 2015 24 May 2015 Meetings: Thurs 18:00-22:00 26 Mar;

### BIOM611 Biological Data Analysis

BIOM611 Biological Data Analysis Spring, 2015 Tentative Syllabus Introduction BIOMED611 is a ½ unit course required for all 1 st year BGS students (except GCB students). It will provide an introduction

### JMS, MAT150 THIS SYLLABUS, COURSE SCHEDULE, ASSIGNMENTS, AND EXAM DATES Summer 2014 ARE SUBJECT TO CHANGE AS CIRCUMSTANCES DICTATE.

SCOTTSDALE COMMUNITY COLLEGE MATHEMATICS DEPARTMENT MAT150, COLLEGE ALGEBRA CLASS# 16015 TIME: 12:10pm 2:20pm DAYS: M, Tu, W, Th LOCATION: CM 465 INSTRUCTOR: J. Michael Sinclair voice mail: 480-731-8866

### Napa Valley College Fall 2015 Math 106-67528: College Algebra (Prerequisite: Math 94/Intermediate Alg.)

1 Napa Valley College Fall 2015 Math 106-67528: College Algebra (Prerequisite: Math 94/Intermediate Alg.) Room 1204 Instructor: Yolanda Woods Office: Bldg. 1000 Rm. 1031R Phone: 707-256-7757 M-Th 9:30-10:35

### Elmira Business Institute Medical Billing (MED 130) Elmira Business Institute Student Syllabus: Medical Billing (MED 130) Semester: Spring 2014

Instructor Information: Instructor: Office Location: Telephone: Email: Office and Tutoring Hours: Elmira Business Institute Student Syllabus: Medical Billing (MED 130) Semester: Spring 2014 Course Identification:

### Fairfield Public Schools

Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

### CSC122/CYEN122: Intermediate Computer Programming

CSC122/CYEN122: Intermediate Computer Programming Fall 2013 Description: Per the catalog: Analysis, design and implementation of programs. Application structures, algorithm development, eventdriven programming,

### Office: D-116-9. Instructor: Vanessa Jones. Phone: (714) 628-4948. Office Hours: Monday & Wednesday 1:30pm-2:30pm. Email: Jones Vanessa@sccollege.

Fall Semester 2015 Santiago Canyon College: Mathematics & Sciences Division (Room SC-210) MATH 80: Intermediate Algebra (Section Number 10247) Tuesday & Thursday 10:30 am-1:00pm (Room SC-110) Instructor:

### MTH 140 Statistics Videos

MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative

### Small Business Management BUSG 2309 Course Syllabus

Small Business Management BUSG 2309 Course Syllabus Semester with course reference number: Fall 24285 Course location, time: Spring Branch, Thursdays 6:30-8:30 PM, Hybrid Instructor D.S. (Steve) Ferguson,

### Introduction to Physics I (PHYS-10100-01) Fall Semester 2012

Introduction to Physics I (PHYS-10100-01) Fall Semester 2012 Section 1 Professor, Matthew Price CNS 266, mprice@ithaca.edu, 274-3894 Section 1 Class meetings: MWF, 8:00 AM - 9:50 AM Section 2 Professor

### Psychology 420 (Sections 101 and 102) Experimental Psychology: Social Psychology Laboratory

Instructor: Edward Lemay, PhD. email: elemay@umd.edu office: BPS 3147B office hours: by appointment Teaching Assistants: Psychology 420 (Sections 101 and 102) Experimental Psychology: Social Psychology

### PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS PROJECT SCHEDULING W/LAB CET 2021

PELLISSIPPI STATE TECHNICAL COMMUNITY COLLEGE MASTER SYLLABUS PROJECT SCHEDULING W/LAB CET 2021 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 3.0 Revised: Fall 07 Catalog Course Description: This

### Math 121-?? College Algebra Syllabus Spring 2015

Math 121-?? College Algebra Syllabus Spring 2015 Instructor:??????????? Office:???????? Office Hours:??????? Email:???????? SOFTWARE (REQUIRED) Software (including an ebook) for this course will be provided.

### Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

### CENTRAL COLLEGE Department of Mathematics COURSE SYLLABUS

CENTRAL COLLEGE Department of Mathematics COURSE SYLLABUS MATH 1314: College Algebra Fall 2010 / Tues-Thurs 7:30-9:00 pm / Gay Hall Rm 151 / CRN: 47664 INSTRUCTOR: CONFERENCE TIMES: CONTACT INFORMATION:

### ECO 250 Economics and Business Statistics I Fall 2009 Online Course

Instructor: Email: ECO 250 Economics and Business Statistics I Fall 2009 Online Course Dr. Michelle Sheran You should direct your questions to my graduate assistant, Matt Rabbit. Matt is the primary contact

### II. Office Hours* (sign up at least 24 hours in advance in binder at student desk in office) Monday

Lansing Community College TEC Pre-Calculus Official Course Syllabus Effective Fall 2013 I. Course Code Title: Room 1st Hour: HTEC 064 005 TEC Pre-Calculus A MB 203 II. Office Hours* (sign up at least 24

### COURSE SYLLABUS. Office Hours: MWF 08:30am-09:55am or by appointment, DAV 238

USF, St. Petersburg MAC 1105 College Algebra (ref #20214 ) COURSE SYLLABUS Term: Spring 2011 Section: 602 Department: MTH College: AP Credit hours: 3 Instructor: Olena Maymeskul Email: olenam@mail.usf.edu

### Welcome to Mrs. Henisa s Prep for College Algebra Class 2014-2015

Welcome to Mrs. Henisa s Prep for College Algebra Class 2014-2015 Please take this packet home to your parents/guardians to read through and return the parent/student Information Page by Friday, August

### STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015

Faculty of Science Course Syllabus Department of Mathematics & Statistics STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015 Instructor: Michael Dowd Email: michael.dowd@dal.ca

### LOGOM 3300: Business Statistics Fall 2015

LOGOM 3300: Business Statistics Fall 2015 The science of statistics is the chief instrumentality through which the progress of civilization is now measured and by which its development hereafter will be

### MATH 2600 - Probability & Statistics - Fall Semester 2015 Dr. Brandon Samples - Department of Mathematics - Georgia College

MATH 2600 - Probability & Statistics - Fall Semester 2015 Dr. Brandon Samples - Department of Mathematics - Georgia College Course Information: CRN: 80123 Lecture: MWF: 8 am - 8:50 am Building: Arts &

### Math 830- Elementary Algebra

Math 830- Elementary Algebra Tue, Thur: 1:00pm-2:45pm Instructor: Dr. Lemee Nakamura Room: 3507 Office: 3621 Section 1979 Phone: 760-757-2121 ext.6219 Spring 2010 Email: lnakamura@miracosta.edu Office

### INSTRUCTOR INFORMATION Instructor: Adrienne Petersen Email: arpetersen@unr.edu Office: DMS 233 Office Hours: TuTh 11am-1pm by appointment

Math 120: Fundamentals of College Math Mathematics and Statistics Department, University of Nevada, Reno Section 1001, TuTh 2:30-3:45pm, FH 106 Section 1002, TuTh 1:00-2:15pm, FH 207 Fall 2014 INSTRUCTOR

### STA2023 Introduction to Statistics Summer 2011

STA2023 Introduction to Statistics Summer 2011 Instructor: Jennifer Denson Class Website: http://www.hccfl.edu/faculty-info/jdenson3/sfc---statistics-1.aspx Class: Section Day/Time Location My Math Lab

### ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences

! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-252 Probability and Statistics II 1.0 Course designations and approvals:

### ACTL5101 Probability and Statistics for Actuaries

Australian School of Business School of Risk and Actuarial Studies ACTL5101 Probability and Statistics for Actuaries Course Outline Semester 1, 2014 Part A: Course-Specific Information Please consult Part

### AGEC 448 AGEC 601 AGRICULTURAL COMMODITY FUTURES COMMODITY FUTURES & OPTIONS MARKETS SYLLABUS SPRING 2014 SCHEDULE

AGEC 448 AGRICULTURAL COMMODITY FUTURES AGEC 601 COMMODITY FUTURES & OPTIONS MARKETS SYLLABUS SPRING 2014 SCHEDULE Time: TR, 2:20pm 3:35pm (stacked sections) Location: Heep Center, Rm.103 INSTRUCTOR Dr.

### Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits)

Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits) Instructor: Luc Hens Telephone: +32 2 629 11 92 e-mail: luc.hens@vub.ac.be Web site: http://homepages.vub.ac.be/~lmahens/ Course

### MAT 113-701 College Algebra

MAT 113-701 College Algebra Instructor: Dr. Kamal Hennayake E-mail: kamalhennayake@skipjack.chesapeake.edu I check my email regularly. You may use the above email or Course Email. If you have a question

### International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics