MBA535 (Analytical Tools for Decision-Making)
Week 2 Assessment (20 points each question; 100 points total)
Question 1. The data below represent the amount of grams of carbohydrates in a serving of br
Chapter 4
Chapter 4 Preview
In chapters 4, 5 and 6, the authors lay out the mathematical theory of probability as
compactly as they can. Probability is the theoretical basis of inferential statistics.
Chapter 6
Chapter Overview
This chapter introduces the concept of continuous random variables, and shows
various calculations with the three most important examples: normal random variables,
uniform r
Chapter 7
Chapter Overview: Some Comments on Random Sampling
Inferential Statistics deals with drawing conclusions. The theory behind most of
the techniques in this area is based on the assumption tha
Chapter 5
Section 5.1: The Probability Distribution For a Discrete Random Variable
Variables A variable is a well-defined quantity that takes on different values depending
on the circumstances. For ex
Chapter 8 Notes
Chapter 8 Preview
This chapter continues to develop the idea of using the statistics computed from a small
random sample to estimate the corresponding parameters for the entire populat
Chapter 9 Notes
(Sections 9.1 and 9.2)
Chapter 9 Overview
Suppose that an automobile manufacturer claims his vehicles average 30 miles
per gallon. If you randomly select one of these vehicles and you
Chapter 2
This chapter presents some simple techniques for organizing and displaying data,
either as numbers arranged on the page or as charts and diagrams. Most of these are fairly
self-explanatory.
Chapter 3
Chapter 2 focused on obtaining an overview of the data by displaying it in useful
formats. This chapter is about summarizing the data by computing a few useful numbers.
These numbers are oft
Chapter 8: Activities & Lecture Notes
1. Please view this video:
https:/youtu.be/siqx4PbqJ6s
If this link doesnt work, just put this title into Youtube: How to use Excel to
Calculate Confidence Interv
Week 1:
To Do:
Read Chapters 1 and 2
Lecture Notes
Complete week 1 assessment
Chapter 1
In some sense this is where the course really begins. From this point on, please
read the material carefully, wo
Week 6: Chapter 9 Lecture
(Sections 9.1 and 9.2)
1. Please view this video:
https:/youtu.be/WtdiMUwWX0k
If this link doesnt work, just put this title into Youtube: Difference between Null
hypothesis a
MBA535 (Analytical Tools for Decision-Making)
Marist College
Week 1 Assessment (20 points each question; 80 points total)
Question 1. A sample of 200 students at a Big-Ten university was taken after t
Chapter 7
CHAPTER SEVEN
RESEARCH: GATHERING INFORMATION
FOR IMC PLANNING
This chapter examines how advertisers gain information about the marketplace and how they
apply their findings to marketing and
Chapter 6
CHAPTER SIX
MARKET SEGMENTATION AND THE MARKETING MIX:
DETERMINANTS OF ADVERTISING STRATEGY
This chapter describes how marketers use behavioral characteristics to cluster prospective
custome
Chapter 5
CHAPTER FIVE
MARKETING AND CONSUMER BEHAVIOR:
Chapter 5
THE FOUNDATIONS OF ADVERTISING
This chapter seeks to underline the importance of the marketing process in business and to
define the r
Chapter 2
CHAPTER TWO
THE BIG PICTURE:
THE EVOLUTION OF ADVERTISING AND IMC
At a macro level, advertising and IMC play a large role in the economic vitality of a nation.
Both consumers and sellers gai
Week 8: The Final Week
Chapter 3 Notes and Chapter 13 Notes
[Chapter 3]
Section 3.3 (Exploring Numerical Data)
Each piece of data is simply information. When we gather data, we are gathering
informati
Week 7: Chapter 11 Lecture
Overview
In section 10.4, we first encountered the F distribution which enabled us to compare
the variances of two populations and to test whether they are effectively equal
Week 6: Chapter 10 Lecture
Chapter 10 Overview
In this chapter, the authors present several ways of applying the techniques of
hypothesis testing to the comparison of two different populations.
Suppos
Lets Get Started
Why statistics?
The sections in this pre-chapter provide a quick discussion of what statistics is
about. Basically, there are two main things that you can do with statistics:
You can
Chapter 1
In some sense this is where the course really begins. From this point on, please
read the material carefully, work through the examples and do the problems carefully.
For most sections liste
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Mean, variance, and standard deviation of the market return
Economic outcome
Rapid Expansion
Moderate Expansion
No Growth
Moderate Contraction
Serious Contraction
S
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Calculating covariance and correlation between two random variables
Economic outcome
Depression
Recession
Normal
Boom
Means
Variances
Stdevs
Covariance
Corr
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SciTools Bidding Decision
B
C
Inputs
Cost to prepare a bid
Cost to supply instruments
Probability of no competing bid
Comp bid distribution (if they bid)
<$115K
$115K to $
A
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SciTools Bidding Example
Inputs
Cost to prepare a bid
Cost to supply instruments
$5,000
$95,000
Pro
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Drug testing decision
B
C
Benefits
Identifying user
D
F
Given probabilities
25
Prior probabilities
User
0.05
Costs
Test cost
Barring non-user
No
A
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Illustration of Bayes' rule using drug example
Prior probabilities of drug user status
User Non-user
0.05
0.95
1
Likelihoods of test res