What is your gender?
1. Male
2. Female
55%
45%
1.
2.
What Faculty are you in?
1.
2.
3.
4.
5.
Arts
Science
Engineering
Management
Other
74%
18%
6%
1.
2.
3%
3.
0%
4.
5.
Money motivates employees better than
anything else: Do you agree?
55%
45%
1. Yes
2. No
Inference for 2 Populations
Comparison of 2 Population Means (Independent Samples):
H0: 1 - 2 = 0 (1 = 2).
H1: 1 - 2 0 (1 2).
TS:
( x1 x 2) (1 2)
( x1 x 2)
.
AL: z(1 - /2).
Note: Use +z(1 - ) for UTTs and use -z(1 - ) for LTTs.
What value should be used f
Hypothesis Testing: One Population
Hypothesis testing is used to make decisions about a population based on the analysis of sample
statistics. There are always two hypothesis statements which are mutually exclusive and
complementary statements concerning
Simple Linear Regression
Simple linear regression is used to analyze the nature of the relationship between two variables.
The dependent (response) variable is designated by Y and the independent (explanatory) variable
is designated by X. For a given inde
MGCR 271 | Business
Statistics
Tutorial 1
January 18, 2012
TAs
[email protected][email protected]
2 others for office hours (Yuemei and
Debra)
Review
Describing Data with Graphs
Data is either quantitative or categorical
Categ
TowardStatisticalInference
Inferential statistics involves using a representative subset of data (a sample)
in order to draw conclusions about unknown characteristics of an entire set of
elements (a population). The estimate of the population parameter is
RandomVariables
A random variables numerical value is determined by the outcome of a
random phenomenon.
i.e. A basketball player shoots three times. We can define a random
variable X as the number of baskets successfully made.
A discrete random variable c
ObtainingData
Available data were produced in the past for some other purpose but that
may help answer a present question inexpensively. The library and the
Internet are sources of available data.
Government statistical offices are the primary source for
NormalDistributions
The normal distribution has two parameters: the mean () and the standard
deviation (). Each different combination of and specifies a different normal
distribution. The normal distribution is symmetrical about its mean and is bellshaped
Inference for Two-Way Tables
Contingency Table Test for Independence:
H0: The two criteria are independent of each other.
H1: The two criteria are not independent of each other.
*OR*
H0: p1 = p2 = p3 = = pi (The populations are homogeneous).
H1: Not all p
RandomnessandProbability
A phenomenon is random if individual
outcomes are uncertain, and there is a
distribution of outcomes in a large
number of repetitions.
The probability of any outcome of a random phenomenon can be
defined as the proportion of times
FurtherExamples
WaitingLine
InventoryManagement
1.
Example1:Determining#Servers
UsingWaitTimeStandards
A taxi company has seven cars stationed at an airport during
lateeveninghoursonweeknights.Thecompanyhasdetermined
that customers request taxis during th
SESSION 4
MGCR 222:
Introduction to Organizational Behavior
Communication 1
Professor Alfred Jaeger
Overview
Housekeeping issues
Questionnaire about Older Workers
Communication Defined
Communication Models
Sources of Distortion
Communication Styles
Commun
Project Management
Chapter 17
Project
Management
Project Management
Learning Objectives
Understand key elements in project
management
Depicting a project as a network of activities
Finding project completion time and critical
path (CPM: Critical Path M
WAITING LINES
Chapter18
ServiceCapacity
Planning
WaitingLines
WAITING LINES
Learning Objectives
Definition of waiting lines and their relevance to
capacity planning
Why do they occur?
How can we model waiting lines?
How can we analyze them?
Littles Law
Wh
INVENTORY
MANAGEMENT
Chapter12
INVENTORY
MANAGEMENT
Learning Objectives
Understand the importance of inventory
management
Understand the various inventory models and
the associated inventory management goals
Understand and learn a few of the most
impor
QUALITY CONTROL
Quality
Control
Chapters9&10
QUALITY CONTROL
Learning Objectives
Understand the importance of quality and
quality management
Explain the elements of the quality control
process
Apply Statistical Quality Control to monitor a
process
Con
INTRODUCTION
Chapter 1
INTRODUCTION
Outline
What is Operations Management, and
why is it important?
Comparison between Manufacturing and
Service systems (i.e. goods vs.
services)
Types of decisions in Operations
Management
2
INTRODUCTION
Bob White
3
INTRO
Process Management
Chapter 3 of:
Managing Business Process Flows, Principles of Operations
Management
Learning Objectives
x
Process Performance Evaluation
x
Process flow measures
x
Relating flow measures to each other
x
Analyzing Process Flows Using Littl
INVENTORY MANAGEMENT-Newsvendor Problem
SINGLE PERIOD INVENTORY
(Newsvendor)
MODEL
Supplement to Chapter 12
INVENTORY MANAGEMENT-Newsvendor
Problem
Learning Objectives
Understand when to use the single-period
model
Analyze the costs and the cost trade-o
STRATEGY, COMPETITIVENESS & PRODUCTIVITY
Chapter 2
Strategy,
Competitiveness,
and Productivity
STRATEGY, COMPETITIVENESS & PRODUCTIVITY
Learning Objectives
What is Strategy? What is Operations
Strategy?
Different views of Operations Strategy
Competitivene
Scatterplot
A graph showing the shape and direction of the underlying relationship between two
variables.
Observations are plotted in pairs with one variable plotted on each axis.
Typically, the explanatory or independent variable is plotted on the X axis
WelcometoBusinessStatistics!
Statistics is the science of getting insight from data in context.
Knowing how to carry out calculations or construct graphs little
value.
Knowing which calculations and graphs are appropriate
worthwhile.
Knowing what those c