Econ 3790: Statistics for Business and Economics, Spring 2015
Course Web Site: http://yuppal.people.ysu.edu/teaching.htm
Lecture Time: Tu and Th 2 pm – 3.50 pm in DeBartolo Hall 356
Lab Time: Th 4 pm – 4.50 pm in DeBartolo Hall 561
Office: 312 Debartolo Hall
Office hours: Tuesdays and Thursdays from 12 -2pm, and Wednesday 1- 2pm or by
Appointment
Email: yuppal@ysu.edu
Phone: (330) 941-3494
Office: TBA
Office hours: TBA
This course is an introductory course in statistics with applications in business and economics.
The main goals of the course include the following:
1.
We will define what data is, and describe different types of data. We will learn different ways of presenting and summarizing raw data. The goal here is to understand the essential features of the data at hand.
2.
We will learn various rules used to determine the probability of the outcomes of uncertain events.
3.
We will define random sampling and learn to compute sample statistics which estimate various characteristics of the population of interest.
4.
We will learn the sampling distributions of some commonly used sample statistics. The techniques of hypothesis testing will help us assess the reliability of our estimation results which are based on sample data.
5.
We will use the regression analysis to estimate relationships between two or more variables. This will help answer questions such as how one variable is likely to change if another related variable changes.
:
Statistics for Business and Economics
, 11 th Edition, revised (with printed access card)
By Anderson, Sweeney, and Williams
Southwestern College Publishing

This course requires extensive use of computer software to apply the concepts learnt in the class to real world data. The instructions for computer applications will be provided by the graduate assistant in the computer lab scheduled along with this class. These applications will be taught using Microsoft Excel. Please see below for the weight given to the lab work in determining your final grade.
The course will require 4 online homework assignments (out of a total of 5), 4 online quizzes
(out of a total of 5), 2 midterm exams, and a final exam. Additionally, the lab part of the course will have assignments required by the lab instructor. The final course grade will be broken down into homework (10%), quizzes (10%), two midterm exams (20% each), a final exam (20%), and the lab assignments (20%). Students may use a one-page cheat sheet (of the size 8.5*11) and a simple calculator during the online quizzes and in-class exams. The online quizzes and homeworks will only be available till their due date. PLEASE MAKE SURE YOU SUBMIT
EACH ASSIGNMENT BEFORE IT EXPIRES. No make-up assignments or exams will be given. It will be your responsibility to make sure you have appropriate technology including a reliable internet connection to complete the online assignments.
The scale for deciding the letter grade is as follows. If your numerical grade is X, then
X ≥ 90%
80% ≤ X < 90%
70% ≤ X < 80%
60% ≤ X < 70%
X < 60%
A
B
C
D
F
The course webpage contains many resources for students. You should visit the website regularly for various announcements, lecture slides, homework assignments, and practice exams. I will also put homework solutions and links to various datasets on the website.
In accordance with University procedures, if you have a documented disability and require accommodations to obtain equal access in this course, please contact me privately to discuss your specific needs. You must be registered with the Center for Student Progress Disability
Services, located at 275 Fifth Avenue, and provide a letter of accommodation to verify your eligibility. You can reach CSP Disability Services at 330-941-1372.
The Marion G. Resch Center for Student Progress is a resource on Campus established to help students successfully complete their university experience. Please phone (330) 941-3538 or visit

the Center for assistance in tutoring or for individualized assistance with social and academic success. The main Center is located in Kilcawley West below the bookstore.
I take academic honesty very seriously. Any person caught cheating will automatically get an F in the class. Please refer to the Undergraduate Bulletin or the student code (available at http://www.ysu.edu/thecode.pdf) for the University’s academic honesty/plagiarism policy.
A tentative schedule of the class is as follows. Please pay careful attention to the important dates and the readings assigned. It is recommended that students read the material before the class to understand the lectures better.
Chapters
Reading assigned
Chs. 1-3
Chs. 4-6
Chs. 7-12
1.1-1.6, 2.1-2.2, 2.4, 3.1-3.3, 3.5-3.6
4.1-4.5, 5.1-5.4, 6.1-6.3
7.1-7.6, 8.1-8.2 and pp 317-18, 9.1-9.5, 11.1, 12.1-12.2
Chs. 13- 15 13.1-13.2, 13.5, 14.1-14.9, 15.1-15.5
Homeworks Quizzes Midterm
Homework # 1 due on Jan
29 at 11:55pm
Quiz # 1 due on Feb 3 at
11:55pm (covers Chs. 1 and 2)
Homework # 2 due on
Feb 12 at 11:55pm
Quiz # 2 due on Feb 17 at
11:55pm (covers Chs. 3 and 4)
Quiz # 3 due on Mar 24 at
11:55pm (covers Chs. 5 and 6)
Homework # 3 due on
Mar 5 at 11:55pm
Homework # 4 due on
Apr 2 at 11:55pm
Homework # 5 due on
Apr 30 at 11:55pm
Quiz # 4 due on Apr 7 at 11:55pm
(covers Chs. 7 and 8)
Quiz # 5 due on May 4 at
11:55pm (covers Chs. 9, 11 and
13)
Midterm # 1 on Feb 26
(covers Chs 1-4)
Midterm # 2 on April 9
(covers Chs 5-8)
Last Day to Withdraw with a grade of ‘W’: 03/26/15
Final
May 7 (Thursday) at 1 pm

How to access your
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Econ 3790 Spring 2015
Instructor(s): Yogesh Uppal
Start Date: 01/11/2015
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