Calculating Descriptive Statistics Part two
Chapter 5
ADM2303  Davood Astaraky
Summary Measures
Numerical Measures
Center
Mean
Median
Mode
Off centre
Percentile
Range
Variability
IQR
Variance
Standard
Deviation
Coeff of
Variation
Variability
Measures o
Randomness and Probability  Part one
ADM2303  Davood Astaraky
Randomness and probability
With random phenomena, we cant predict the individual outcomes with total
certainty. The best we can say is how likely they are to happen, using the
idea of probab
ADM 2303 Fall 2014
Statistics for Management
ADM
Instructor : Davood Astaraky
2303
Statistics for Management
Instructor : Davood Astaraky
1
Textbook
Sharpe, DeVeau, Vellman & Wright Business Statistics (second or first) edition,
published by Pea
Randomness and Probability Part three
ADM2303  Davood Astaraky
Outline
Special words in probability
Assessing probability
Complement of an event
Combining events
Addition rule (A OR B)
Conditional probability (A given B)
Multiplication rule (A AND B)
Bay
Randomness and Probability Part two
ADM2303  Davood Astaraky
Outline
Special words in probability
Assessing probability
Complement of an event
Combining events
Addition rule (A OR B)
Conditional probability A given B
Multiplication rule (A AND B)
Bayes T
Continuous Probability Distributions:
Normal Distributions (Continued)
Chapter 9.8, 9.9, 9.10
ADM2303  Davood Astaraky
The Inverse Normal Probability Calculations
Last week we discussed how to find the cumulative probability of normal
random variable
Scatter Plot, Correlation, Causality, Combining RVs
ADM2303  Davood Astaraky
Explanatory and Response Variables
An explanatory (independent variable), x, explains the variation in another
variable, which is called the Response variable (dependent variabl
Sampling Distributions
Sampling Distributions for Mean Part two
Chapter 10
Outline
Sampling Distribution
Sampling Distribution for Proportions
Sampling Distribution for Mean
Central Limit Theorem (CLT)
Small Populations
Unknown Population SD
Sampling Dis
Sampling Distributions
Sampling Distributions for Mean Part one
Chapter 10
Outline
Sampling Distribution
Sampling Distribution for Proportions
Sampling Distribution for Mean
Central Limit Theorem (CLT)
Small Populations
Unknown Population SD
The Sampling
Calculating Descriptive Statistics Part one
Chapter 5
ADM2303  Davood Astaraky
Summary Measures
Numerical Measures
Center
Mean
Median
Mode
Off centre
Percentile
Range
Variability
IQR
Variance
Standard
Deviation
Coeff of
Variation
Measures of Central Ten
Introduction to Quality Control and Statistical Process Control
Chapter 25
ADM2303  Davood Astaraky
Statistical QC
Two Facets Of Statistical Quality Control :
Assessing The Quality Of An Existing Batch Or Lot Of Items
This facet is called acceptance samp
Sampling Distributions
Sampling Distributions for Proportions
Chapter 10
ADM2303  Davood Astaraky
Outline
Sampling Distribution
Sampling Distribution for Proportions
Sampling Distribution for Mean
Central Limit Theorem (CLT)
Small Populations
Unknown Po
Populations, Samples, Sampling Methods and Practices
Chapter 3
ADM2303  Davood Astaraky
Outline
!
Populations and Samples
!
Why Samples ?
!
Types of Sampling Methods
!
Sampling and Nonsampling Errors
Populations and samples
The first step in conducting
Continuous Probability Distributions:
Normal Approximation to Binomial
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
Distrib
ADM 2303 C
Statistics For Management
Class 11.1
1
2
Calculation of zValue for the
Sample Mean: Insurance Example
In an insurance company, the average claim is $4,560
with standard deviation of $600.
In a sample of 100 recent claims the average claim
was
ADM 2303 B
Statistics For Management
Class 6.2
1
Reminder
For all sections:
Part 2 of the Assignment is due Tuesday (tomorrow) 11:59pm.
There will be no exceptions.
For my sections only!:
Part 1 is due this Friday (November 1st) 11:59pm.
2
Exam Results
Ex
ADM 2303 C
Statistics For Management
Class 6.2
1
Scatterplots
Correlation
(calculate and interpret)
Combining any Random Variables
(not just independent ones)
2
A scatter plot is a graph
that may be used to
represent the relationship
Scatter Diagrams
betw
ADM 2303 C
Statistics For Management
Class 5.2
1
Uniform Probability
Distributions
f(x)
1
1
f ( x)
0.33
5 2 3
for 2 x
5
f(x)
.50
.50
.25
1
1
f ( x)
0.20
8 3 5
for 3 x
8
.25
2
a
5
b
3
a
c
x
d
8
b
CONTINUOUS UNIFORM PROBABILITY Function
1
CONSTANT a x
ADM 2303 C
Statistics For Management
Class 6.1
1
The Inverse Normal
Transformation
For a certain surgical procedure, the time spent in an
Operating Room of a hospital is Normally distributed with
mean 50 minutes and SD 10 minutes
How much time should we b
ADM 2303 C
Statistics For Management
Class 5.1
1
Discrete Distributions Organization Chart
General Approach
1) To determine which distribution to use:
Assess criteria for each distribution
To determine probabilities of outcomes:
Use formula or table
To de
MidTerm Review
1
2
What are reasonable
assumptions?
country and regional preference are disjoint
country and regional preference are independent
Both a and b
Neither a nor b
Note example:
p(agree completely AND India) <> p(agree completely) *
p(India)

ADM 2303C
Statistics For Management
Class 1.2
1
Not statistics
There are 3 vacuum tube
transportation companies in the world.
I have sell a part that all three use, but
for which there is no other application http:/www.businessinsider.com/elonmuskhyperl
ADM 2303 C
Statistics For Management
Class 1.1
1
Plan for today
1.
2.
The usual logistics
Intro to the course
content:
What will we cover?
Some study pointers
Why on earth do we need to
talk about it?
2
Textbook and Web Access
Course text: Sharpe, DeVeau,
Continuous Probability Distributions:
Exponential Distribution
Chapter 9
ADM2303  Davood Astaraky
Outline
Continuous
Probability
Distributions
Probabilities of
Equal Ranges are
Equal
Uniform
Distribution
Anything Else
Normal
Distribution
Intervals betwe
ADM 2303 C
Statistics For Management
Class 11.2
1
Introduction to Quality and
Statistical Process Control
Principles
Tools
Statistical Process Control
3
What is quality?
Chap 174
In Quality Management
context:
Not: heated leather seats, failsafe triple