Continuous Probability Distributions:
Uniform Distributions
Chapter 9.8, 9.9, 9.10
ADM2303 - Davood Astaraky
Outline
Continuous
Probability
Distributions
Probabilities of
Equal Ranges are
Equal
Uniform
Distribution
Anything Else
Normal
Distribution
Inter
Question 1
a)
High. Sch. or less
University or more
Total
25-44
0.19
0.25
0.44
45-64
0.25
0.09
0.34
>64
0.16
0.06
0.22
Total
0.60
0.40
1
b) No. one outcome will affect another one. With the increasing of age, total number
of educational-attainment people
Question 1
1.
a)
Hi stogr am of Age by S ex
22.5
30.0
0
9
37.5
45.0
52.5
1
Number of people
8
7
6
5
4
3
2
1
0
22.5
30.0
37.5
45.0
52.5
A ge
Panel variable: S ex
b)
Hi stogr am of Age by S ex
45
0
Number of people
5
4
3
2
1
45
48
Panel variable: S ex
51
51
ADM2303 B & C - Fall 2015
Final Review - Part two
1. (EDA) A recent housing survey was conducted to determine the price of a typical home in
Glendale, CA. Glendale is mostly middle-class, with one very expensive suburb. The mean
price of a house was rough
Assignment one - part II
Total points : 50
Part I of the assignment :
Must be done via MySytatlab
Due-date: Monday, May 25, 11:59 P.M.
Part II of the assignment :
Please don't forget to complete your signed statement of Academic Integrity within the
bo
Probability Theory- General Addition Rule
In this lecture we discuss :
Marginal probability
Joint probability
Union probability
General addition rule
Davood Astaraky
Telfer School of Management
Outline
Randomness and probability denitions
Special words in
Probability Theory - Review problems
Review problems
l
a
n d
io an
it y
d t
n ili
o b
C a
le
ru
b es
ro ay
p
B
Davood Astaraky
Telfer School of Management
Question 1
You have 100 emails in your inbox: 60 are spam, 40 are not. Of the 60 spam emails, 35 con
Exploring Numerical Data - Transforming data
In this lecture we discuss :
Define transformations
Review when it might be useful/necessary to transform data
Davood Astaraky
Telfer School of Management
Transformations
A transformation is a rescaling of the
Probability theory - Conditional probability
In this lecture we discuss :
Dependence
Conditional probability
Tree digram
Multiplication rule for dependent events
Davood Astaraky
Telfer School of Management
Outline
Randomness and probability denitions
Spec
Random Variables Part two
Chapter 9.1, 9.2
ADM2303 - Davood Astaraky
Risk
Consider Insurance Policy example once again :
The probability model for a particular life insurance policy is shown.
Risk
Do they care
about the risk
involved ?
How do they
measure
Creating Contingency Tables in Excel
Contingency Tables in Excel
Excel calls it Contingency Tables as pivot tables.
Open the workbook Market_segmentation.xls
From the Insert Tab choose the Pivot Table button from the Tables group on
the far left of the
Probability theory
In this lecture we discuss :
Randomness and probability definitions
Special words in probability
Assessing probability
Disjoint (mutually exclusive) events
Complement of an event
Probability distributions
Davood Astaraky
Telfer School o
Exploring Numerical Data - Measures of relative position
In this lecture we discuss :
Percentile
Decile
Quartile
Davood Astaraky
Telfer school of Management
Measures of Relative Position
Measures of relative position compare the position of one value in r
Exploring Numerical Data - Measures of spread
In this lecture we discuss :
Range
Variance
Standard deviation
Inter-quartile range
Coefficient of variation
less variable
more variable
Davood Astaraky
Telfer School of Management
Variability
Measures of var
Exploring Categorical Data
In this lecture we discuss :
Describe distribution of a single categorical variable
Evaluate relationship between two categorical variables
Evaluate relationship between a categorical and a numerical variable
Davood Astaraky
Tel
Probability Theory - Review Examples
Review examples
ty
li
i
b
a
b
ro
p
Davood Astaraky
Telfer School of Management
Question 1
The World Values Survey is an ongoing worldwide survey that polls the world population about perceptions
of life, work, family,
Probability theory - Independence
In this lecture we discuss :
Independence
Multiplication rule for independent events
Davood Astaraky
Telfer School of Management
Outline
Randomness and probability denitions
Special words in probability
Assessing probabil
Probability theory - Bayes' theorem
In this lecture we discuss :
Bayes theorem
Davood Astaraky
Telfer School of Management
Outline
Randomness and probability denitions
Special words in probability
Assessing probability
Disjoint (mutually exclusive) events
Discrete Probability Distributions- Part one
Binomial Distribution
Chapter 9.4, 9.6, 9.7
ADM2303 - Davood Astaraky
Binomial Distribution
Only 2 possibilities
The Characteristics of a Binomial Experiment
1.
The experiment consists of a fixed number of tri
Review problems for the nal :
Problem 1.
The time (mins) to get a call to a healthcare provider follows an exponential distribution. The
mean time between calls is 12 mins.
a) What is the probability of getting no calls within 30 mins (or unit times)?
b)
ADM2303 Davood Astaraky
Mid-term review Fall 2015
Question 1.
Mothers Against Drunk Driving is a very visible organization whose main focus is to
educate the public about the harm caused by drunk drivers. A study was recently done
that emphasized the p
ADM2303 Davood Astaraky
Review Questions for the Mid-term Exam Fall 2015
Question 1.
Mothers Against Drunk Driving is a very visible organization whose main focus is to
educate the public about the harm caused by drunk drivers. A study was recently don
Data fron Angus Reid
Attitude
Convinced GW is occurring
Not fully convinced GW is occurring
GW is not occurring
Not sure
Age
35-54
18-34
55+
0.63
0.31
0.05
0.01
0.58
0.36
0.04
0.02
0.27
Data on the exam question
Attitude
Convinced GW is occurring
Not full
ADM 2303 B & C - Fall 2015
Final Review - Part three
Problem 1.
Consider a small bike shop in Bank street Ottawa. Bicycles arrive at the shop in boxes. Before they can be
sold, they must be unpacked, assembled, and tuned (lubricated, adjusted, etc.). Base
ADM2303 formula sheet - Fall 2015
Random variables (RV)
Combining Normal random variables
Expected value of discrete RV X :
If X N (x , x ), Y N (y , y ) and independent
n
Probability theory
E(X) = =
xi P(X = xi )
Rule of sum of probabilities:
aX bY N (a
ADM2303 - Fall 2015
1. (Probability - general & binomial) It is known that 80% of people like peanut butter,
89% like jelly, and 78% like both.
(a) If we pick one person at random, what is the chance s/he likes peanut butter or jelly?
P(PB or J) = 0.80 +
What is Statistics and Why it Matters ?
Median Income ($1000s)
gain
no gain
It is easy to lie with statistics. It is hard to tell the truth without it .
100
80
60
40
20
gain
Andrejs Dunkels
no gain
20
40
Marathon times (in hrs)
Change in Population
60
80
What is Data ?
In this lecture we discuss :
What do data look like
What tidy data look like
Types of variables
Format of types of variables
ADM2303 - Davood Astaraky
Telfer School of Management
Denition of Data
Data are values of qualitative or quantitat
ADM2303 - Statistics for Management
Fall 2015
ADM2303 - Davood Astaraky
Telfer School of Management
Course Instructor
Professor : Davood Astaraky
Astaraky@telfer.uottawa.ca
Teaching Assistant: details and contact information will be announced on blackboar
Running Head: ASSIGNMENT 2 PART II
1
Assignment 2 Part II
ADM2303P Statistics for Management
Telfer School of Management, University of Ottawa
ASSIGNMENT 2 PART II
2
Remember to submit as a single PDF document and to include your statement of academic
int
Running head: ASSIGNMENT 1 PART II
Assignment 1 Part II
ADM2303P Statistics for Management
Telfer School of Management, University of Ottawa
1
ASSIGNMENT 1 PART II
2
Answers to questions may be found below:1
The manager looks at this table and has the fol