STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009



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

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

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

STAT 360 Probability and Statistics. Fall 2012

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

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

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

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

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 C R N

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

MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS

Statistical Methods Online Course Syllabus

Mathematics Department Course outline Statistics for Social Science DW

SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE

CHEM PRINCIPLES OF CHEMISTRY Lecture

Decision Sciences Data Analysis for Managers

Mathematics for Business Analysis I Fall 2007

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

Introduction to Statistics (Online) Syllabus/Course Information

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

Online Basic Statistics

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

DSCI 3710 Syllabus: Spring 2015

MAT 1111: College Algebra: CRN SPRING 2013: MWF 11-11:50: GRAY 208

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

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

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

MAC 2233, STA 2023, and junior standing

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

BAKERSFIELD COLLEGE. Elementary Probability and Statistics. Math B22 CRN SPRING 2016

MATH 1111 College Algebra Fall Semester 2014 Course Syllabus. Course Details: TR 3:30 4:45 pm Math 1111-I4 CRN 963 IC #322

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

STA2023 Introduction to Statistics Spring Class Website:

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

Brazosport College Syllabus for PSYC 2301 General Psychology

DYERSBURG STATE COMMUNITY COLLEGE COURSE SYLLABUS. Elementary Probability and Statistics

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS

Syllabus FINANCE 330 Spring 2016 Section 003

LOGOM 3300: Business Statistics Fall 2015

BIOM611 Biological Data Analysis

Foothill College Winter 2014 Pre-Calculus III Math 48C CRN # units

Class Room Units Math 15 CRN Introductory Statistics AC Attendance Days (Hybrid Course)

MAT 120 Probability & Statistics Mathematics

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

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

Florida Gulf Coast University Finite Math M GF 1106 Spring 2014 CRN 11072

Precalculus Algebra Online Course Syllabus

Oakland Community College MAT A1503 Calculus I Fall Semester, Instructor Jeremy JJ Mertz Office C-245

CHEMISTRY 109. Lecture 2, Fall Read This Syllabus Today Keep It for Future Reference

COURSE AND GRADING POLICY

STA2023 Introduction to Statistics Summer 2011

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

Math 830- Elementary Algebra

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

Class Syllabus. Department of Business Administration & Management Information Systems. Texas A&M University Commerce

Chemistry 201B Syllabus Cuesta College General College Chemistry II Fall units

Description. Textbook. Grading. Objective

Social Psychology Syllabus

Online Course Syllabus Page 1

MATH COLLEGE ALGEBRA Spring 2014 KANSAS ALGEBRA PROGRAM (KAP)

Online Course Syllabus Page 1

MAT150 College Algebra Syllabus Spring 2015

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

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

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

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

Tennessee Wesleyan College Math 131 C Syllabus Spring 2016

Truman College-Mathematics Department Math 140-ABD: College Algebra Course Syllabus Summer 2013

Brown University Department of Economics Spring 2015 ECON 1620-S01 Introduction to Econometrics Course Syllabus

Moraine Valley Community College Course Syllabus

Econometrics and Data Analysis I

Math 103, College Algebra Spring 2016 Syllabus MWF Day Classes MWTh Day Classes

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

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

BUSSTAT 207 Introduction to Business Statistics Fall 2015

Earth Science 101 Introduction to Weather Fall 2015 Online

MATH 205 STATISTICAL METHODS

ECON 523 Applied Econometrics I /Masters Level American University, Spring Description of the course

Math 1342 STATISTICS Course Syllabus

Accounting Fundamentals of Accounting Class Syllabus Spring 2014 (Instructor Reserves the Right to Make Changes)

I INF 300: Probability and Statistics for Data Analytics (3 credit hours) Spring 2015, Class number 9873

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

CASPER COLLEGE COURSE SYLLABUS

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

Course Syllabus MATH 110 Introduction to Statistics 3 credits

Social Work Statistics Spring 2000

EXPECTED LEARNING OUTCOMES:

Johnson County Community College

Truman College-Mathematics Department Math 207-ABD: Calculus and Analytic Geometry I Course Syllabus Summer 2014

INSTRUCTOR INFORMATION Instructor: Adrienne Petersen Office: DMS 233 Office Hours: TuTh 11am-1pm by appointment

MATH 1111 College Algebra Spring 2015 Syllabus Instructor Office Phone Webpage Office Hours Catalog Description Prerequisite

AIMS 3770: Production and Operation Analysis

UNIVERSITY OF MASSACHUSETTS BOSTON COLLEGE OF MANAGEMENT AF Theory of Finance SYLLABUS Spring 2013

Carolinas College of Health Sciences General Education MAT : COLLEGE MATH (ONLINE) Mymathlab course ID: mbayabu21347 Course Syllabus Fall 2015

INTRODUCTION to PSYCHOLOGY INTRODUCTORY STATISTICS A Presidential Scholars Interdisciplinary Seminar

Transcription:

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: MWF 9:45AM 10:30AM or by appointment Course Webpage: http://www.bb.usu.edu Textbook: Essentials of Business Statistics by Bowerman, O Connell, Orris, and Porter (2008), Second Edition, McGraw-Hill, New York. Objectives: The purpose of this course is to teach students statistical concepts and techniques that have applications in business and industry. Topics such as acceptance sampling and quality control are integrated with the statistical material being presented throughout the course. The underlying concepts upon which statistical methods are based will be emphasized and must be understood. These concepts form the foundation upon which all of the analysis will be based. The primary goal is to provide the opportunity for the students to gain an appreciation of the use and value of statistical analysis as a tool in the decision-making process. Prerequisite: Math 1050 (with a grade of C- or better), and students are responsible for both knowing and satisfying prerequisites for this course. If a student does not possess the necessary prerequisites, he or she will likely be dropped from the course by computer check and the notification of such a drop generally occurs after the date when any refund is possible or after the ADD deadline. Please make sure you are qualified to be enrolled. Calculator/Software: A calculator with basic statistical functions (e.g. mean, variance) is required. In addition, this course will require the use of a statistical software package; we will focus on the statistical capabilities of Microsoft Excel. Technology Devices and Equipment: The policy of the Math & Stat Department is that, unless an examination requires a specific technology device, no electronic devices can be activated and positioned where they can be seen or used during an exam. This includes - but is not limited to - cell phones, portable mp3 players, headphones, and wireless devices. A student found to be violating this policy will automatically receive a zero score for the examination and may be subject to further disciplinary action. The TI-85 calculator (or similar calculator thereof) is the only equipment that is allowed during examinations. It must not be a wireless capable device or portable computer, personal data assistant, or a device otherwise able to send and/or receive text, voice messages, data, graphics or photographic images. In case a student needs a phone to be active during an exam (because an emergency call is expected), the active cell phone must be left at the front of the room with the instructor. 1

Tutoring Labs: Free tutoring is provided by the ARC. Availability (times and locations) for tutoring can be found at http://www.usu.edu/arc. Homework: There will be three (3) homework assignments, each based on material covered up to (and including) the respective assigned date. Assignments will be a mix of textbook exercises and worksheets. The worksheets will be designed to give students practice using Excel. You can use software to solve all problems (please include print-outs), unless you are explicitly asked to perform the calculations by hand. The list of textbook exercises is provided within this syllabus, beginning on page four. The following schedule summarizes important homework dates: Homework Assignment Schedule Assignment 1 Assigned: Monday, June 15, 2009 Due: Monday, June 22, 2009 Assignment 2 Assigned: Wednesday, June 24, 2009 Due: Monday, July 6, 2009 Assignment 3 Assigned: Wednesday, July 8, 2009 Due: Monday, July 20, 2009 Assignments should be well organized and handed in with all pages stapled together. Points will be deducted whenever assignments consist of the following: (i) pages torn out of spiral notebooks; or (ii) pages not stapled together. No late homework will be accepted. Quizzes: There will be four (4) quizzes. With the exception of the first week of class, one quiz will be administered each week in which an exam is not given. Quizzes will be given during the initial 20 minutes of class, and questions will be similar to homework exercises and/or lecture examples. Makeup quizzes will not be given. Exams: There will be two (2) midterm exams and a comprehensive final exam. All exams (four quizzes, two midterm exams, comprehensive final exam) will be closed book. Any necessary tables/formulas will be provided. Unless told otherwise, all exams will be held at the same location/start time as the lectures. Make-up exams will be given only in emergencies, in which case you must: (i) obtain prior consent from the instructor; and (ii) provide written documentation, specifying the extent of the emergency. A midterm exam can be made-up no later than one week following the administering of the respective exam. Examinations cannot be retaken. See the following table for the schedule of exams: Exam Schedule Exam Chapters Assessed Date Midterm 1 3, 4, 5, 6 Wednesday, June 24 Midterm 2 7, 8, 9 Monday, July 20 Final Exam Comprehensive July 31, 7:30AM 9:20AM 2

Grades: Course grades will be determined according to the percentage of points earned in accordance with the following schedule: Schedule of Course Points Final Exam 1 200 pts = 200 pts Midterm Exams 2 225 each pts = 450 pts Quizzes 4 25 each pts = 100 pts Homework Assignments 3 25 each pts = 75 pts Lowest Homework or Quiz Dropped 1 25 pts = 25 pts Total 800 pts Although there is no set grading schedule, an overall course percentage of at least 90% will guarantee you some form of an A grade. Add/Drop Policy: The last day to add/drop classes is June 17, 2009. The signature of the instructor is not required for dropping the class. There may be a waiting list of students who want to add this class. The attendance of students from this list will be checked at the beginning of the lectures for the first few weeks of the semester. Students with the best attendance may be added to the class roster only if there will be enough space in the allotted classroom. Special Needs: In coordination with the Disability Resource Center (DRC), reasonable accommodation will be provided for qualified students with disabilities. Please meet with the instructor to make arrangements and document the disability through the DRC, preferably during the first week of class. Accommodations and alternative format print materials (large print, audio, diskette, or Braille) are available through the DRC, located in the University Inn room 101, phone number 797-2444. Please note that the student is responsible for contacting the DRC for specific services. Disclaimer: The instructor reserves the right to alter anything about the course (but he probably won t). Study Suggestions: ˆ This is a very demanding course. We will cover a substantial quantity of information over a short amount of time. Do not fall behind. ˆ Before each lecture, read the entire chapter (without looking at the exercise sets) and try to understand the ideas and techniques. ˆ During the lecture, take notes and try to understand the examples I am discussing. If you have questions, please see me during office hours. ˆ After the lecture, review your notes and the powerpoint presentation(s). solving the exercises and homework problems. Re-read the chapter, ˆ The material in this couse builds upon itself... fall behind. Try not to miss any of the lectures; again do not 3

Homework Assignments Section(s) Topic/Assignment 2.1 2.3 Pg. 126-127 (READ) Distributions, Central Tendency, Variation 3.1 3.2 Concepts of Probability Pg. 141 # 1, 3, 5, 7 3.3 Elementary Probability Rules Pg. 148 # 9, 11, 13, 15a, b, c, d 3.4 Conditional Probability and Independence Pg. 157 #17, 18, 19, 20, 21; 24, 25, 27, 29, 30 3.5 Bayes Theorem Pg. 163 #38, 41 Chapter 3 Review Pg. 164 #43, 44, 45, 46, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 66(a,b), 67(a,b) 4.1 Random Variables Pg. 170 #3 4.2 (READ) Discrete Probability Distributions 4.3 Binomial Distribution Pg. 190 #23a-g (use tables), 24 (use tables), 25, 26, 27, 29 4.4 Poisson Distribution Pg. 196 #34, 35, 36 Chapter 4 Review Pg. 198 #45, 46 (use tables), 47, 48, 49, 50, 51, 52, 53 5.1 (READ) Continuous Probability Distributions 5.3 Normal Distribution (Very important) Pg. 224 #17, 18, 19, 20, 23; 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 39, 40 5.6 (READ) Cumulative Normal Table Chapter 5 Review Pg. 240 #60, 61, 62, 64, 65a, 66, 67, 71, 74, 76 6.1 Sampling Distribution of the Sample Mean, X Pg. 258 #9,10, 11, 12, 13, 14 6.2 Sampling Distribution of the Population Proportion, ˆp Pg. 262 #17, 18a, 19a, 20a; 21, 22, 23, 24, 25, 26, 27, 28 Chapter 6 Review Pg. 265 #29a-c, 31, 32, 33, 34, 35, 36, 37, 39, 41, 42 7.1 Confidence Intervals for a Population Mean, µ: σ known Pg. 278 #3, 5, 6, 7a-c, 8, 9; 10, 11, 12 7.2 Confidence Intervals for a Population Mean, µ: σ unknown Pg. 286 #15, 16a, 17, 19; 20, 21, 22, 23, 24 7.3 Sample Size Determination Pg. 291 #27, 28, 29, 30, 31, 32, 33 7.4 Confidence Intervals for Population Proportion, p Pg. 297 #35, 36a, 37a, 38, 39, 40; 42a-c, 43, 44, 45, 46, 47, 48, 49, 50 Chapter 7 Review Pg. 302 #57, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69 4

Homework Assignments (continued) Section(s) Topic/Assignment 8.1 Hypothesis Testing Pg. 316 #1, 2, 3, 4, 5, 6, 7, 8a, 9a, 10a, 10c, 11a-b, 12, 13 8.2 Hypothesis Test for µ (one-sided): σ known Pg. 326 #14, 15, 16, 17, 18, 19, 20; 21, 22, 30, 31, 32, 34, 35 8.3 Hypothesis Test for µ (2-sided): σ known Pg. 332 #38, 39, 40, 42, 43, 44, 45, 46, 48 8.4 Hypothesis Test for µ: σ unknown Pg. 336 #50, 51, 54, 55a, 55b, 56b, 57, 58, 60; 61, 62 8.5 Hypothesis Test for a population proportion, p Pg. 341 #65, 67a-b, 69, 70, 71, 72a-c; 73a, 73b, 74a, 75a-b 8.6 Type II Errors Pg. 348 #78b-c, 79a-b, 80a, 81, 82 8.7 8.8 Hypothesis Test for a Population Variance, σ 2 Pg. 351 #87, 88, 90 Chapter 8 Review Pg. 353 #91, 92a-c, 93, 95a-c, 95e, 96, 98, 99a-b, 100, 101, 102, 103a 9.1 Comparing 2 Population Means: Known Variances Pg. 336 #7b-d, 8b-c, 9c-d, 10b-d; 11a-c 9.2 Comparing 2 Population Means: Unknown Variances Pg. 374 #17, 20a-b, 21a-b; 22b-c, 22e, 23a-b, 24(a-c,e) 9.3 Paired Difference Experiments Pg. 381 #25, 29b, 31a-c, 34a-c, 35a-c 9.4 Comparing 2 Population Proportions Pg. 389 #39, 41a-c, 42a-b, 43, 45a-b 9.5 Comparing 2 Population Variances Pg. 397 #47, 49c, 51, 52, 53 Chapter 9 Review Pg. 399 #54a, 55a, 56(a,c), 57, 58(a,c), 59(a,c), 60 12.1 Simple Linear Regression Pg. 473 #1, 3, 5, 7, 9, 12, 21, 23b-d 12.2 Least Squares Estimates and Prediction Pg. 484 #17, 18, 19 12.3 (READ) Model Assumptions 12.4 Testing the Significance of the Slope, β 1 Pg. 493 #35(a,c-h), 37(a,c-h) 12.6 Correlation Pg. 509 #53, 55, 57, 59 12.8 F Test for the Model Pg. 513 #65, 67, 69, 71 Chapter 12 Review Pg. 530 #83b, 84, 86 13.1 Multiple Regression Model Pg 548 #1, 3, 7 13.2 Point Estimates Pg. 555 #11a-b (calculate by hand from Excel output), 13 13.3 (READ) Model Assumptions 13.4 (READ) Multiple Coefficient of Determination 13.5 Overall F Test Pg. 562 #17 (2), (4)-(7) only; 19 (2), (4)-(7) only 13.6 Testing Significance of an Indep. Var. Pg. 566 #23 (2)-(5) only, 24 (2)-(5) only 5

Tentative Course Schedule Lecture # Date Sections Exams/Assignments 1 June 8 Syllabus; 2.1 2.3; 3.1 3.2 2 June 10 3.3 3.4 3 June 12 3.5; 4.1; 4.3 4 June 15 4.4; 5.3 Quiz 1, HW#1 Assigned 5 June 17 5.3; 6.1 6 June 19 6.2 7 June 22 Review HW#1 Collected 8 June 24 HW#2 Assigned; Midterm 1 9 June 26 7.1 7.2 10 June 29 7.3 7.4 11 July 1 8.1 8.2 Quiz 2 12 July 6 8.3 8.4 HW#2 Collected 13 July 8 8.5 8.6 HW#3 Assigned 14 July 10 8.7 8.8 Quiz 3 15 July 13 9.1 9.2 16 July 15 9.3 9.5 17 July 17 Review Quiz 4 18 July 20 HW#3 Collected; Midterm 2 19 July 22 12.1 12.2 20 July 27 12.4; 12.6; 12.8 21 July 29 Review 22 July 31 Final Exam 6