Discrete
Probability
Distributions
Outcomes
At the end of this section you should
be able to:
Know
how to determine probabilities
associated with Uniform, Binomial and
Poisson distribution applications.
Discrete Probability
Distributions
A random variabl

Continuous Probability
Distributions
Review of Discrete and
Continuous Random
Variables
A discrete random
variable is a variable that
can take on a countable
number of possible
values, e.g. 1,2,3,4,5,
A continuous random variable
is a variable that can ta

Graphing Quantitative
Data
Data
Categorical
Data
Bar Charts
Pie Charts
Quantitativ
e Data
Contingenc
y Tables
Histograms
Stem &
Leaf
Diagrams
Data
Histograms are for Quantitative
Data
20
20
18
F
requency
15
11
11
10
10
6
5
3
1
0
Percent of Loblaws stores

Victoria Larochelle
7725759
02/10/15
ADM 2303 F
Statistics Assignment 1
Question 1
A)
Genetic Diseases
Chemotherapy
Anti-Inflammatory
Total
Company ASuccess
3
5
35
43
Company BSuccess
11
10
11
32
Total
14
15
46
75
B)
Company A
Company B
Genetic Diseases
3

QUESTION 1
(a)
p=
0.01 n =
P(0) = 0.904382
P(>0) = 0.095618
10
(b)
There is more than 5% chance of getting one broken mirror out of 10
Getting one broken mirror out of 10 is not exceptional
There is no reason to think the company is failing to live up to

Suggested Final Exam Questions for Professors to Review in Class
ADM2303
The following list indicates which previous final exam questions are on which topics for review in class.
For instance 07 1(c) means question 1(c) in the final exam for 2007. This ex

QUESTION 1
(a)
p=
0.01 n =
P(0) = 0.904382
P(>0) = 0.095618
10
(b)
There is more than 5% chance of getting one broken mirror out of 10
Getting one broken mirror out of 10 is not exceptional
There is no reason to think the company is failing to live up to

Discrete
Probability
Distributions
Outcomes
At the end of this section you should
be able to:
Know
how to determine probabilities
associated with Uniform, Binomial and
Poisson distribution applications.
Discrete Probability
Distributions
A random variabl

Continuous Probability
Distributions
Continuous
Probability
Distributions
Probabilities
of Equal
Ranges are
Equal
Anything
Else
Intervals
between
Poisson
Events
Uniform
Distribution
Normal
Distribution
Exponential
Distribution
Normal
Approximatio
n to Bin

Introduction to
Quality and
Statistical Process
Control
Quality
Control
Causes of
Quality
Variation
Statistical
Control
Charts
X-Bar
Charts
R and S
Charts
EXAMPLE SITUATIONS
PACKAGE FILLING
Minimum fill (weight or volume)
Maximum fill
Measures of package

Populations and
Samples
Populations
and Samples
Using
Samples to
Estimate
Populations
Simple
Random
Sampling
Sampling
Techniques
Stratified
Random
Sampling
Cluster
Random
Sampling
Systematic
Random
Sampling
Populations and Samples
A population is a set of

Populations and
Samples
Populations
and Samples
Using
Samples to
Estimate
Populations
Simple
Random
Sampling
Sampling
Techniques
Stratified
Random
Sampling
Cluster
Random
Sampling
Systematic
Random
Sampling
Populations and Samples
A population is a set of