MIS 301, Section 3: Statistical Analysis for Business
SYLLABUS, SPRING 2014, Schedule: 21999
Class Hours: T 4:00am-6:40 pm
Classroom: EBA437
Instructor: Bongsik Shin, Ph.D
Office: SS-3118
Email: bshin@mail.sdsu.edu
Office Hours: MW (2:00 pm – 3:00 pm) or by appointment
General BSBA Goals
BSBA students will graduate being Effective Communicators, Critical Thinkers, Able to
Analyze Ethical Problems, Global in their perspective, and Knowledgeable about the essentials
of business. This class contributes to those goals through its student learning outcomes.
Learning Objectives
This course is to learn fundamental statistical techniques and how they are applied to various
decision-making situations. For this, the course covers key concepts and analytical techniques of
statistics. At the end of this course students should be able to:
1. Use data from a sample to make inferences about a population.
2. Apply probability theory in decision making situations.
3. Formulate hypotheses for decision making and research.
4. Analyze data using appropriate statistical techniques.
5. Interpret the results of statistical analysis
Required textbook: Basic Statistics for Business and Economics (8th Edition), McGraw Hill by
Lind, Marchal, and Wathen
General Class Policy

Although not part of course grading, attendance is strongly encouraged. There is a
correlation between class attendance and student performance. Especially, students
struggle with theory-based test questions after missing classes.

Course information including the syllabus, lecture notes, and exam scores will be updated
on Blackboard. Students are responsible to visit Blackboard frequently to be updated on
the class progress and report discrepancies immediately.

Students are required to turn off all laptops and cell phones before the class starts. Any
student using them during the class will be asked to leave. Also, students are not allowed
to use a cell phone as a calculator during the test.

Cheating will not be tolerated. A student caught giving or receiving assistance to/from
another student(s) during an exam will be asked to leave and will receive an F for the
course. Every case will be reported to the Center for Student Rights and Responsibilities
for a possible disciplinary action.
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
Please do not chat with classmates during the class and also do not pack up early. These
behaviors disturb the class.

To be fair to all students in final grading, individual extra-credit opportunities will NOT
be provided. Also, there will be NO artificial jack up of a final grade because of personal
reasons.

Class withdrawal: Once the official deadline passes, students will not be allowed to
withdraw due to low test scores. Also, students are not given an incomplete grade due to
poor class performance. Students are encouraged to visit undergraduate business advising
center to consult if such situation rises.

If you are a student with a disability and believe you will need accommodations for this
class, it is your responsibility to contact Student Disability Services at (619) 594-6473.
To avoid any delay in the receipt of your accommodations, you should contact Student
Disability Services as soon as possible. Please note that accommodations are not
retroactive, and that I cannot provide accommodations based upon disability until I have
received an accommodation letter from Student Disability Services. Your cooperation is
appreciated.
Quizzes



To encourage class attendance and better class preparation, there will be ad hoc quizzes
throughout the semester. Each quiz will have one multiple-choice, computational
question. For this, students will be pre-assigned homework questions from a covered
chapter.
Students should always carry a Scantron (Form No 815-E) and a calculator to prepare
for the ad hoc quiz.
The chance of having a class quiz gets higher as the semester progresses.
Tests

There are three exams — the third exam being the final. All exams must be taken at their
scheduled time and at the course venue. No early or late examination is allowed. All
students who are taking the test at the DSS center (594-6473) should see the instructor in
advance.
 Lectures and lecture slides define the test scope.

The formula sheet at the end of the textbook will be handed out on the test day. The
formula sheet will be reused to save trees, so please keep it CLEAN. No other cheat sheet
or summary sheet is allowed during the test.

There will be 20 multiple-choice questions (5 points each), totaling 100 points for each
test. The test lasts 80 minutes (4 minutes for each question). Students are required to
bring a Scantron sheet (Form 882-E).
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
Tests will include both conceptual and computational questions. Students are allowed to
use a calculator of his/her choice during an exam and is allowed to write on the test (but
NOT on the formula sheet) to solve questions.

The RedID (NOT the driver’s license) should be deposited to take a test.
Grading


Score distribution:
Midterm exam 1 ---------------------Midterm exam 2 ---------------------Final exam ----------------------------Quizzes --------------------------------Total ------------------------------------
100 points
100 points
100 points
+
300+ points
Final grades are curved according to the following approximation:
A A- B+ B
BC+
C
C- D+ D D- F
4% 5% 7% 9% 11% 17% 17% 11% 8% 6% 3% 2%

All marketing majors should receive at least a solid ‘C’ to pass this course. When it
comes to grading, all students are treated equally.

Official grades are not given for the scores of mid-term tests. But you can have a general
idea of your performance based on “Column Statistics” available on Blackboard.
Tentative Course Outline
The week-to-week progress may vary and the class coverage may not keep up with the tentative
plan. Exams are, however, held on the scheduled date.
Dates
1/28
2/4
2/18
Lecture Topics
Textbook Chapter(s)
Introduction
What is statistics?
1
Describing Data: Frequency Distribution & Graphic Presentation 2
Describing Data: Numerical Measures
3
Describing Data: Displaying and Exploring Data
4
Discrete Probability Distributions
6
Continuous Probability Distributions
7
2/25
Mid-term test 1
3/4
3/11
3/ 18
3/25
Sampling Methods and the Central Limit Theorem
Estimation and Confidence Interval
One-Sample Tests of Hypothesis
Two-Sample Tests of Hypothesis
4/8
Mid-term test 2
2/11
8
9
10
11
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4/15
4/22
4/29
5/6
Analysis of Variance
Correlation and Linear Regression
Multiple Regression Analysis
Non-parametric Methods: Goodness-of-fit Tests
5/13
Final Exam (16:00 – 18:00)
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13
14
15
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