8/21/2015
Session #15: Analysis of Categorical Data
Agenda
(Applications of 2 Test)
a. Goodness of Fit
b. Contingency Analysis (or Test
of Independence)
c. Test of population variance
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1
2 Goodness-of-Fit Test
The 2 goodness-of-fit test compa
F-Test
Following are the two applications of F-test
1. Test of equality of two population variances
F=
S 22
S12
2
2
(if
S
S
otherwise
)
1
2
S 22
S12
Where
S =
2
1
1
(X X )
n 1
n1
i =1
2
1i
1
and
S =
2
2
1
1
(X X )
n 1
n2
i =1
2i
2
21
2
With n1-1 and n2-
8/21/2015
Session #10: Sampling and Sampling
Distribution
Agenda
a. Sampling vs. census
b. Random and nonrandom
sampling
c. Types of error
d. Sampling distributions
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1
Reasons for Sampling
Sampling can save money.
Sampling can save time.
F
8/21/2015
Session #16: Nonparametric Statistics
Agenda
a. nonparametric tests
b. run test
c. Mann-Whitney
y U test
d. Wilcoxon matched-pairs signed
rank test
e. Kruskal-Wallis test
f. Friedman test
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1
Parametric vs Nonparametric Statistics
P
8/21/2015
Session #11: Statistical Inference:
Hypothesis Testing
Agenda
a. Hypothesis testing
b. Type I and Type II errors
c. HTAB system to test
hypotheses
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1
Types of Hypotheses
Research Hypothesis
a statement of what the researcher belie
8/21/2015
Session #11: Hypothesis Testing
Agenda(Applications of Z test (n>30)
a. Test of significance for single
mean
b. Test of significance for difference
off means
c. Test of significance for difference
of standard deviation (s.d.)
d. Testing a Claim
8/21/2015
Session #6: Probability
Agenda
a. Law of Addition
b. Law of Multiplication
c. Bayes Law
d. Law of conditional Probability
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1
General Law of Addition
P( X Y ) = P( X ) + P(Y ) P( X Y )
X
Y
Special Law of Addition
If X and Y are mutua
8/21/2015
Session #13: Analysis of Variance and Design
of Experiments
Agenda
a.
b.
c.
d.
e.
f.
Experimental designs
y ANOVA
One-way
Random Block Design
Two-way ANOVA.
Interaction.
Multiple comparison techniques.
www.jbs.ac.in
1
Introduction to Design of E
8/21/2015
Session #5: Probability
Agenda
a. Introduction
b. Probability
c. Ways of assigning probability
d. Marginal, union, joint, and
e. conditional probabilities.
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1
Methods of Assigning Probabilities
Classical method of assigning probabi
8/21/2015
Session #12: Hypothesis Testing
Agenda
a. Applications of t-tests
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1
Applications of t test(n30)
Test the significance of the mean of a
random sample
Test the difference between means of
two samples (Independent Samples)
Test the di
8/21/2015
Session #8: Continuous Distribution
Agenda
uniform distribution
normal distribution
Exercises based normal
distribution
Exponential distribution
www.jbs.ac.in
1
Uniform Distribution
1
b a
f ( x) =
0
for
a xb
for
all other values
1
ba
f (x)
Ar
8/21/2015
Session #7: Discrete Distribution
Agenda
a. Discrete vs. continuous random
variables
b. Determine mean and variance of a
discrete distribution
c. Identify the type of statistical
experiments that can be described
by the binomial, Poisson and
Hyp
8/21/2015
Session #4: Descriptive Statistics
Agenda
a.Skewness
b.Kurtosis
c.Box and Whisker Plots
www.jbs.ac.in
1
Measures of Shape
Skewness
Absence of symmetry
Extreme values in one side of a distribution
Kurtosis
Peakedness of a distribution
Leptoku
Name of Institution
Amity Business
School
Welcome to Marketing
Management
Pooja Sehgal Tabeck
What is Marketing?
Amity Business
Name of Institution
School
Personal Selling?
Advertising?
Making products available in stores?
Maintaining inventories?
All of