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School of Business

 

E270 INTRO TO STATISTICAL THEORY 
COURSE OUTLINE FOR FALL 2014
(Class #22304  Tu, Th 7:00-8:15 p.m. KO 104)

  Roden
INSTRUCTOR: Dianne Roden, PhD
Office: KO 174G; phone: (765) 455-9470; fax: (765) 455-9348
Office hours: Tu, Th 2:30-4:00 and 5:30-7:00 p.m. or by appointment
WEB PAGE: Roden's Home Page
email EMAIL:  droden@iuk.edu
 

TEXTBOOK:  textbook  Lind, Marchal and Wathen,  Basic Statistics for Business & Economics, 8th edition
The Student Companion Website for the textbook includes chapter summaries and on-line quizzes link to text website

SOFTWARE:   Microsoft EXCEL
A calculator is necessary to do the assignments and exams.       

PREREQ:   Math M118 OR Math M215 OR Math M133 & M134

EXAMS: There will be three exams, two during the semester and one during the final exam period.

first midterm Sept 30
in class
second midterm Nov 4
in class
Final exam Dec 16
7:00-9:00 p.m.

Your grade will be determined based on the following weights:

first midterm 30% 75 points
second midterm 30% 75 points
Final exam 30% 75 points
class participation
10%
25 points
TOTAL 100% 250 points

Exam format will contain some multiple choice, some short answer, and a number of problems similar to the ones assigned in class.

CLASS PARTICIPATION: Problems and questions from the text will be assigned each week and the solutions discussed in class.
Participation in this process, other class discussions, and general attendance will impact this portion of the grade.

GRADES: A 90-100, B 80-89, C 70-79, D 60-69, F < 60
(plus and minus grades will be given in the high & low range of each group)
Grades will be posted on Canvas at: canvas.iu.edu

DESCRIPTION:  Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions.
The objective of this intro course is to provide students with a basic knowledge and understanding of the statistics that are used in various areas of business.

GOALS: 

  • Understand the critical role of statistics in various disciplines.
  • Develop skills in describing data and solving statistical problems.
  • Use probability and statistical techniques to understand quality standards, validate claims, and develop forecasting models.

OBJECTIVES:

  • Understand methods of data collection, organization, interpretation, and presentation.

  • Understand measures of central location, dispersion, and shape.

  • Be familiar with ethical, political, and social issues of using statistical information.

  • Comprehend the concepts of probability and how to calculate probabilities.

  • Know selected discrete and continuous probability distributions.

  • Know various sampling techniques and the central limit theorem.

  • Draw inferences regarding population parameters using confidence intervals.

  • Draw inferences regarding population parameters using tests of hypotheses.

  • Utilize regression and correlation models to predict and to measure the strength of association between variables.
The structure of this class makes your individual study and preparation outside class extremely important.
You will get much more from the lectures if you attempt the problems on your own and you come to class prepared.
The course builds from chapter to chapter and a failure to understand one chapter will lead to difficulties in understanding the chapters that follow.

LIBRARY RESOURCES:  The IUK library offers a large variety of resources to supplement this course.
Examples include current newspapers (Wall Street Journal), magazines (Business Week), databases (ABI Inform), and access to the Internet.

 

WEEK DATES TEXT TOPIC & ASSIGNMENT
1 Aug 26

Aug 28
ch1 

ch2
introduction & overview
 
frequency distributions
2 Sept 2

Sept 4
HW

ch3

Ch1 #1,6,7,9     Ch2 #1,3,9,11,17,19,21,35

measures of central tendency and dispersion
3 Sept 9

Sept 11
HW
 
ch5
Ch3 #3,7,15,23,25,29,37,41,47,66 

 probability concepts
4 Sept 16

Sept 18
HW 

ch6
Ch5 #3,7,9,11,17,22,23,31,33,35,39,47,59 
 
discrete probability distributions
5 Sept 23

Sept 25
HW 

review
Ch6 #3,5,9,11,15,19,21,25,27,47

review for first exam
6 Sept 30

Oct 2

EXAM I

ch 7
EXAM I 

continuous probability distributions
7 Oct 7

Oct 9
HW 

ch8
Ch7 #1,5,8,9,11,13,17,21,25,27 
 
sampling methods & central limit theorem
8 Oct 14

Oct 16
HW 

ch9
ch8 #1,5,7,15,17,24,37,39 
 
confidence intervals
9 Oct 21

Oct 23
No class

HW

FALL BREAK

Ch9 #1,3,5,9,11,13,15,17,19,21,41
 
10 Oct 28

Oct 30
ch10

HW

hypothesis testing: one sample

Ch10 #1,3,7,9,13,21,25,35
 
11 Nov 4

Nov 6
EXAM II
 
ch11
EXAM II 

hypothesis testing: two samples
12 Nov 11

Nov 13
HW 

ch12
Ch11 #1,3,7,9,13,17,21
 
analysis of variance analysis (ANOVA)
13 Nov 18

Nov 20
HW 

ch13
Ch12 #1,3,7,11,20,23,25
 
correlation & regression
14 Nov 25
 
Nov 27
No class

Break
Roden Holiday 

THANKSGIVING
15 Dec 2

Dec 4
HW
 
ch14
Ch13 #1,5,9,13,19,21,25,29  

multiple regression
16 Dec 9

Dec 11
HW 

review
Ch14 #1,3,5,7,13,17 

review for final exam
17
Dec 16

FINAL
FINAL EXAM
 
Mission Statement of the IUK School of Business: may be found at:    mission

Indiana University Kokomo provides equal access and support services to students with special needs.
Students with documented disabilities should contact the Accessibility Center (765-455-9301) and discuss any necessary support services or accommodation with the instructor. 
 

 INTERESTING WEB SITES
 
CNN MONEY
business news and stock quotes
cnn money
OTHER COOL WEB SITES 
lots of interesting finance & econ web sites
 FUN FINANCE SITES  cool
FEDSTATS
gateway to statistics from over 100 US Federal agencies
fedstats
NATIONAL CENTER FOR HEALTH STATISTICS
monitoring the Nation's health
health statistics
 
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