CaseStudy:
Promising Results from a Specialty Catalog Survey
Due: July 28, 2013
Team6
ExecutiveSummary
In this report we review the initial analysis of the specialty catalog survey. We find that the
initial survey contained errors resulting in inflated es

CaseStudy:
Managerial Projections for Production and Marketing
The Case of the Suspicious Customer
Due: June 22, 2013
Team6
ExecutiveSummary
Harris and McRorie are attempting to forecast the next quarters sales based on sample data from
a new customer sur

Case 3: Controlling Quality of Production
1. What are the obvious conclusions from the hypothesis tests in the regression output?
From the regression, the first obvious conclusion is that there is a relationship between the X variables
and the variance in

Case 2: Promising Results from a Specialty Catalog Survey
Discussion Question 1: Is it proper to multiply the average order size, $42.33, by the number of
addresses (1,300,000) in the target mailing?
It would not be proper in this case to multiply the ave

QMB 5303 Summer 2012 Introduction to Managerial Statistics I2MBAS14
Instructor: Office: E-mail: Phone:
Praveen Pathak STZ 339 [email protected] (352) 392-9599 (Office) (352) 246-0298 (Cell for emergencies)
I check my e-mails all the time and e-mails is the

Simple Linear
Regression
QMB 5303
Adam Munson
Chapter 13, Slide 1
Correlation vs. Regression
n
n
A scatter plot can be used to show the
relationship between two variables
Correlation analysis is used to measure the
strength of the association (linear rela

StatisticsReview
Continuous
Probability
Distributions
AdamMunson
6-1
DemandforSalmon
n
n
n
n
Akiko Hamaguchi, manager of a small sushi
restaurant, Little Ginza, in Phoenix, Arizona, has to
estimate the daily amount of salmon needed.
Akiko has estimated th

4/23/15
Statistics Review
Continuous Probability
Distributions
Adam Munson
Demand for Salmon
n
n
n
n
Akiko Hamaguchi, manager of a small sushi
restaurant, Little Ginza, in Phoenix, Arizona, has to
estimate the daily amount of salmon needed.
Akiko has est

HypothesisTesting
QBM5303
AdamMunson
9-1
StatisticalInference
Hypothesis testing a form of statistical inference. It
also has great applicability.
To understand the concepts well start with an
example of nonstatistical hypothesis testing.
9-2
Nonstatistic

4/23/15
Introduction
QMB 5303
Adam Munson
Chapter 1 Lecture Objectives (LOs)
LO 1: Describe the importance of statistics.
LO 2: Differentiate between descriptive statistics
and inferential statistics.
LO 3: Explain the need for sampling and discuss
variou

4/23/15
Organizing and visualizing
Variables Graphically descriptive
Statistics
QMB 5303
Adam Munson
Lecture Objectives
n
To construct tables and charts for categorical
data
n
To construct tables and charts for numerical
data
n
The principles of properly

4/23/15
Hypothesis Testing
QBM 5303
Adam Munson
Statistical Inference
Hypothesis testing a form of statistical inference. It
also has great applicability.
To understand the concepts well start with an
example of nonstatistical hypothesis testing.
9-2

4/23/15
Supplement - Organizing and
visualizing Variables Graphically
descriptive Statistics
The importance and power of visualization Examples from History
QMB 5303
Adam Munson
Visualization of Data is Powerful
(Use and Misuse)
http:/mathwithbaddrawings.

4/23/15
Sampling and the
central Limit Theorem
Marketing Iced Coffee
n
n
In order to capitalize on the iced coffee trend,
Starbucks offered for a limited time half-priced
Frappuccino beverages between 3 pm and 5 pm.
Anne Jones, manager at a local Starbuck

4/23/15
Numerically Descriptive Measures
QMB 5303
Adam Munson
Lecture Objectives (LOs)
n
n
n
n
To describe the properties of central tendency,
variation, and shape in numerical data
To construct and interpret a boxplot
To compute descriptive summary measu

Chapter 14
14-1
Introduction to Multiple
Regression
QMB 5303
Adam Munson
Chapter 14, Slide 1
Learning Objectives
n
n
n
n
n
n
n
How to develop a multiple regression model
How to interpret the regression coefficients
How to determine which independent varia

4/23/15
Nonparametric
Tests
QMB 6358
Adam Munson
Examples From:
Chapter 20
Business Statistics: Communicating with Numbers
By Sanjiv Jaggia and Alison Kelly
Lecture Objectives (LOs)
LO 1: Distinguish between parametric and nonparametric tests.
LO 2: Condu

Chapter 13
13-1
Simple Linear
Regression
QMB 5303
Adam Munson
Chapter 13, Slide 1
Correlation vs. Regression
n
n
A scatter plot can be used to show the
relationship between two variables
Correlation analysis is used to measure the
strength of the associat

Chapter 10
10-1
Two-Sample Tests
QMB 5303
Adam Munson
Chapter 10, Slide 1
Two-Sample Tests
Two-Sample Tests
Population
Means,
Independent
Samples
Population
Means,
Related
Samples
Population
Proportions
Population
Variances
Examples:
Group 1 vs.
Group 2
S

4/23/15
Discrete Probability
Distributions
QMB 5303
Adam Munson
Learning Objectives
In this chapter, you learn:
n The properties of a probability distribution
n To compute the expected value and variance
of a probability distribution
n To calculate the co

CaseStudy:
Controlling Quality of Production
Due: August 25, 2013
Team6
ExecutiveSummary
Defects in the manufacturing process cost money. We must either repair the defective product
before we can sell it; or we must discard the product entirely. With a de

Introductiontoprobity
QMB5303
AdamMunson
4-1
Lecture Objectives
n
n
n
Basic probability concepts
About conditional probability
Cross Tabulation
4-2
Basic Probability
Concepts
n
Probability the chance that an uncertain
event will occur (always between 0 an

DiscreteProbability
Distributions
QMB5303
AdamMunson
5-1
Learning Objectives
In this chapter, you learn:
n The properties of a probability distribution
n To compute the expected value and variance of
a probability distribution
n To calculate the covarianc

Introduction
QMB5303
AdamMunson
1-1
Chapter1LectureObjectives(LOs)
LO 1: Describe the importance of statistics.
LO 2: Differentiate between descriptive statistics
and inferential statistics.
LO 3: Explain the need for sampling and discuss
various data typ

OrganizingandvisualizingVariables
GraphicallydescriptiveStatistics
QMB5303
AdamMunson
Lecture Objectives
n
To construct tables and charts for categorical
data
To construct tables and charts for numerical
data
The principles of properly presenting graphs
T

Sampling and the
central Limit Theorem
7-1
MarketingIcedCoffee
n
n
In order to capitalize on the iced coffee trend,
Starbucks offered for a limited time half-priced
Frappuccino beverages between 3 pm and 5 pm.
Anne Jones, manager at a local Starbucks,
det

Two-Sample Tests
QMB 5303
Adam Munson
Chapter 10, Slide 1
Two-Sample Tests
Two-Sample Tests
Population
Means,
Independent
Samples
Population
Means,
Related
Samples
Population
Proportions
Population
Variances
Examples:
Group 1 vs.
Group 2
Same group
before

NumericallyDescriptiveMeasures
QMB5303
AdamMunson
LectureObjectives(LOs)
n
n
n
n
To describe the properties of central tendency,
variation, and shape in numerical data
To construct and interpret a boxplot
To compute descriptive summary measures for a
popu

Introduction to Multiple
Regression
QMB 5303
Adam Munson
Chapter 14, Slide 1
Learning Objectives
How to develop a multiple regression model
How to interpret the regression coefficients
How to determine which independent variables to
include in the regress