MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
The manager of a used-car dealership is very interested in the resale price of used cars. The manager feels that the age
of the car is important in dete

Lecture 2
1. Data Presentation, charts &
graphs
Today
Continue with graphs
Numerical data presentation
2
#ofclasses
Classwidth
Boundaries
Frequency
Example
Closing stock prices for 37 local companies
(sorted in ascending order)
Define the frequency distri

Lecture 7
Hypothesis testing for two
population parameters
Previous classes
Confidence intervals
The basic notion: be able to estimate the
population parameter with a certain level of
confidence
Used interval estimate instead of point
estimates
Confidence

Lecture 9
Analysis of Variance
One-factor (one-way) ANOVA; Randomized block ANOVA; two-factors ANOVA
ANOVA
ANOVA stands for ANalysis Of VAriance
ANOVA allows us to:
Do multiple tests at one time (more than two
groups)
Test for multiple effects simultaneou

Lecture 10
Chi-Squared Tests
Goodness-of-fit; Contingency table
Chi-Squared Tests
We will learn two chi-squared tests:
Goodness of Fit Test
Test of a Contingency Table
A test of Independence
Both tests are based on the same premise:
to see if the observed

Lecture 9
Regression
Regression
Regression analysis enables us to estimate
the strength and direction of relations
between variables
Specifically between dependent and
independent variables
For example:
The effect of years of education on income
The effec

Lecture 3
Probability
Types of probabilities
Analytical
Relative Frequency
Subjective
Random experiment
Sample space
list of all possible outcomes of a random experiment
ex. flipping a coin = H or T, dolling a dice = 1, 2, 3, 4, 5, 6
Simple event
an event

Sept 7 2011
SB OMIS 1000 NOTES
Statistics the mathematics of collection, interpretation of numerical data
Descriptive statistics describing data
Analytical statistics drawing conclusions from data
Population set of all objects or individuals of interest;

Sept 14
Stats Lecture 2
Ogive
graph of a cumulative frequency distribution
3 steps: find relative frequency
calculate cumulative relative frequency (add current class frequency to previous)
graph it (using the cumulative frequencies)
cumulative relative

Lecture 6
One Population Hypothesis
Testing
Introduction and definitions; the basic idea; critical values; errors; significance level; p-value
We will look at
Tests of the mean when unknown, both
small and large samples
Well use the t-distribution.
Tests

SCHULICH SCHOOL OF BUSINESS
YORK UNIVERSITY
SESSION:
FALL 2008 Mid-Term Exam
NAME:
COURSE NO:
OMIS1000
I.D. # :
COURSE TITLE: Statistics for Management
PROFESSORS: Olga Kaminer,
NUMBER OF PAGES:
LENGTH OF EXAMINATION:
EXAMINATION AIDS ALLOWED:
SECTION:
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Statistics for Management
OMIS 1000
Course Overview
11/04/13
1
Expectations
Im going to work you very hard
Im not here to be popular
Im here to teach you well enough that you
will know statistics
You are all bright enough, or else you
wouldnt be in Schuli

Microsoft Excel 14.0 Answer Report
Worksheet: [Electro-Poly Corporation.xls]Electropoly Model 1
Report Created: 1/15/2015 3:42:06 PM
Result: Solver found a solution. All Constraints and optimality conditions are satisfied.
Solver Engine
Engine: Simplex LP

OMIS 2010 Session 2 Class Activity
Question 1
Electro-Poly is a leading maker of slip rings and a $750,000 order has just been received. The
order consists of three types of slip rings and Electro-Poly must decide whether to satisfy the
order by making th

OMIS 2010 Lecture 1
Linear Programming (LP)
Graphical Method
Lecture 1
Introduction to Linear Programming
The Decision Process
Today many of the resources needed as
inputs are in limited supply.
Managers must understand the impact of
this situation on

OMIS 2010 Operations Management
Custom: Operations
Management,
packaged with Connect
Connect is required to
complete course
assignments
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