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

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San José State University Department of Marketing and Decision Sciences BUS 90-06/30174- Business Statistics Spring 2017 January 26 to May 16, 2017 Course and Contact Information Instructor: Office Location: Yudhi Ahuja, Ph.D. BT-565 Telephone: 408-924-3507 Email: Office Hours: Class Days/Time: Yudhi.ahuja@sjsu.edu Monday & Wednesday: 11 a.m. to 12 noon Tuesday & Thursday: 12 noon to 1 pm Tuesday & Thursday: 9 a.m. to 10.15 a.m. Classroom: BBC 105 Prerequisites: Math 71 BUS 91L (Business Computer Tools)-3 credits GE/SJSU Studies Category: Faculty Web Page and MYSJSU Messaging Course materials such syllabus hand outs etc. can be found on my faculty web page at www.sjsu.edu/yudhi. Ahuja, and Canvass. Some messages may be sent at MYSJSU. You are responsible for regularly checking with the messaging system through MYSJSU at www.sjsu.edu to learn of any updates Course Description Emphasizing quantitative techniques used in business/management decision-making, the course inter alia covers the fundamentals of Statistics, Probability and Sampling with applications to live business situations. Specifically, topics covered are Collection and Presentation of Data, Measures of Central Tendency and 1

Variation/Dispersion, Simple Correlation and Regression, Probability, Probability & Sampling Distributions, Statistical Inference and Testing of Hypothesis. Course Goals and Student Learning Objectives The focus of the course is to introduce students to the concepts of statistical analysis and to teach them the techniques available to them as future business managers. The competencies thus developed will enhance their analytical skills thereby helping them establish a faster decision making processes: Prepare students for evaluating problems using statistical analysis of data. Learn numerical data and statistical processes/techniques. Develop critical/analytical skills for managerial decision making. Application of quantitative techniques in business & managerial decision making. Required Text Book Anderson -. Sweeney and. Williams, Essentials of Modern Business Statistics with Microsoft Office Excel, Cengage Learning, 6e 2016, ISBN-9781305617223 Other Readings Handouts as given by the Professor in the class or posted to Canvass. Power Point Slides wherever felt necessary for student reference. Other Technology Requirements Students are required to learn Microsoft Excel on their own and use it for the course as indicated by the Professor from time to time. A presentation may be made in the class to help the students. Course Requirements and Assignments The course requirements and assignments include In-class Quizzes (100 Points), Project Work comprising of Data Analysis and Interpretation (100 Points) and Final Examination (100 Points). Extra Grade Points may be included but not necessary. Final Examination or Evaluation Final Examination detailed information is given in the syllabus Teaching Schedule. This examination will be cumulative, problem solving based, and detailed method for evaluation will be posted on Canvass at the appropriate time. 2

Grading Information Grade Distribution Task % of Course Grade Assignments/Quizzes 30 Project Work Data Analysis and Interpretation 30 Final Examination 40 Extra Grade Points 0 Total 100 Determination of Grades Percentage Grade 94% and above A 93% - 90% A- 89% - 87% B+ 86% - 84% B 83% - 80% B- 79% - 77% C+ 76% - 73% C 72% - 70% C- 69% - 67% D+ 66% - 63% D 62% - 60% D- below 60% F 3

Classroom Protocol Lucas College and Graduate School of Business: Program Goals and Class room policy http://www.sjsu.edu/cob/students/policies/index.html University Policies (Required) Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs Syllabus Information web page at http://www.sjsu.edu/gup/syllabusinfo/ Lucas College and Graduate School of Business: Mission: We are the institution of opportunity in Silicon Valley, educating future leaders through experiential learning and character development in a global business community and by conducting research that contributes to business theory, practice and education. College of Business Program Goals: (Not all program learning goals are covered in every course) I. Business Knowledge To understand the fundamental principles of essential business functions and the relationship of business to individuals, government, society, and other organizations To obtain specialized knowledge of a single business discipline or functional area II a. Business Skills - Communication, Leadership and Ethics To express ideas clearly, logically, and persuasively in oral and written communication To comprehend the challenges and opportunities of working effectively with other people in a diverse environment To demonstrate awareness of how ethical issues and responsibilities affect decisions and actions II b. Business Skills - Critical Thinking and Analysis To comprehend and critically evaluate information presented in written and numeric form To analyze complex, unstructured qualitative and quantitative problems, using appropriate tools and technology 4

Teaching Schedule: BUS 90-02/25150: Business Statistics: Spring 2017 Week Date Topics, Readings, Assignments, Deadlines 1 TR-1/26 Student/Professor Interaction: Syllabus Overview 2 TU-1/31 TR-2/2 3 TU-2/7 TR-2/9 4 TU-2/14 TR-2/16 5 TU-2/21 TR-2/23 6 TU-2/28 TR-3/2 Chapter 1 - Data and Statistics Chapter 1 Data and Statistics & Real Life Applications Chapter 2 - Descriptive Statistics Tabular & Graphical Displays Chapter 2 Descriptive Statistics Tabular & Graphical Displays Assignment I Chapters 1 & 2: Conceptual & Problem Solving: Scant Ron Chapter 3 Descriptive Statistics-Numerical Measures: Averages Chapter 3 Descriptive Statistics: Numerical Measures -Variation Chapter 3: Descriptive Statistics Numerical Measures: Shape Chapter 4 Introduction to Probability Chapter 4 Introduction to Probability 7 TU-3/7 TR-3/9 8 TU-3/14 TR-3/16 Assignment II Chapters 3 & 4: Conceptual & Problem Solving: Scant Ron Chapter 5 Discrete Probability Distributions: Expected Value and Variance Chapter5 Discrete Probability Distributions: Binomial Distribution Chapter 6 Continuous Probability Distributions The Normal Distributions 9 TU-3/21 Chapter 6 The Normal Distributions: Problem Applications TR-3/23 Assignment III Chapter 5 &6 Conceptual & Problem Solving: Scant Ron 10 3/27-31 Spring Recess Campus Closed 11 TU-4/4 TR-4/6 12 TU-4/11 TR-4/13 13 TU-4/18 TR-4/20 14 TU-4/25 TR-4/27 15 TU-5/2 TR-5/4 16 TU-5/9 TR-5-11 Chapter 7 Sampling & Sampling Distributions Chapter 7 Sampling & Sampling Distributions Chapter 8 Interval Estimation Chapter 8 Interval Estimation Chapter 9 Hypothesis Tests Chapter 9 Hypothesis Tests Assignment IV Chapters 7& 8: Conceptual & Problem Solving: Scant Ron Chapter 12 Simple Correlation and Regression Chapter 12 Simple Correlation & Regression Assignment V Chapters 9 & 12 Conceptual & Problem Solving: Scant Ron Group Project Presentations Group Project Presentations 5

Week Date Topics, Readings, Assignments, Deadlines 1 TR-1/26 Student/Professor Interaction: Syllabus Overview 17 TU-5/16 Final Examination Structure and Review IMPORTANT NOTES: PROJECT WORK: Data analysis and interpretation after collecting statistics on various aspects of illegal migration to USA. Professor will provide guidelines for the project work as a group assignment. IN-CLASS QUIZ: All quizzes will be based on the chapters as indicated in the syllabus above. Multiple Choice Questions, True and False Statements and Sample Problem Solving Questions will be given to develop conceptual understanding, use of formulas for problem solving and practical applications in the real world. SCANTRON UPTO 100 QUESTIONS IS REQUIRED PRACTICE PROBLEMS: Problem Solving based on Formulas constitutes a major part of course evaluation. However, problem solving needs considerable practice and conceptual understanding. Students will be assigned practice problems at the end of every chapter which they can do on their own without submitting to the Professor. In general 6

STUDENTS MUST PRACTICE SELF TEST AND EVEN NUMBER PROBLEMS FOR WHICH SOLUTIONS ARE GIVEN TOWARDS THE END IN THE TEXT BOOK. In addition to this, Professor may be solving some problems in the class to support problem solving further. FINAL EXAMINATION: CUMULATIVE BUT MULTIPLE CHOICE/TRUE AND FALSE STATEMENTS RELATING TO PROBLEM SOLVING ONLYTO TEST TOTAL UNDERSTNADING OF STUDENTS ABOUT THE CUMULATIVE COURSE IS THE BASIS. SCANTRON NEEDED. TUESDAY: MAY 23, 2017: 0715 to 0930 AM: BBC 105 7