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Title: Distributions
Description: A statistical distribution is a mathematical function that describes the probabilities of all possible outcomes of a random variable. The type of distribution used to model a particular set of data depends on the nature of the data and the research question being addressed.
Description: A statistical distribution is a mathematical function that describes the probabilities of all possible outcomes of a random variable. The type of distribution used to model a particular set of data depends on the nature of the data and the research question being addressed.
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Xi = the ith outcome of X
Y = discrete random variable Y
Yi = the ith outcome of Y
P(X=Xi,Y=Yi) = probability of occurrence of the
ith outcome of X and the ith outcome of Y
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
Investment
Economic Condition
Prob
...
2
Recession
- $25
- $200
0
...
3
Expanding Economy
+ $100
+ $350
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
2) +(50)(
...
3) = 50
E(Y) = μY = (-200)(
...
5) + (350)(
...
00 return
and fund Y is averaging a $95
...
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
2) + (50 − 50) 2 (
...
3)
= 43
...
2) + (60 − 95) 2 (
...
3)
= 193
...
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
2) + (50 − 50)(60 − 95)(
...
3)
= 8,250
Interpretation: Since the covariance is large and
positive, there is a positive relationship between the
two investment funds, meaning that they will likely
rise and fall together
...
Chap 5-16
The Sum of
Two Random Variables
Expected Value of the sum of two random variables:
E(X + Y) = E( X) + E( Y )
Variance of the sum of two random variables:
Var(X + Y) = σ 2X+ Y = σ 2X + σ 2Y + 2σ XY
Standard deviation of the sum of two random variables:
σ X + Y = σ 2X + Y
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
Investment Objective: Maximize return (mean)
while minimizing risk (standard deviation)
...
Chap 5-18
Portfolio Expected Return
and Portfolio Risk
Portfolio expected return (weighted average
return):
E(P) = w E( X) + (1 − w ) E( Y )
Portfolio risk (weighted variability)
σ P = w 2σ 2X + (1 − w )2 σ 2Y + 2w(1 - w)σ XY
Where
w = proportion of portfolio value in asset X
(1 - w) = proportion of portfolio value in asset Y
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
30
μY = 95 σY = 193
...
4 (50) + (0
...
4) 2 (43
...
6) 2 (193
...
4)(0
...
30
The portfolio return and portfolio variability are between the values
for investments X and Y considered individually
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
5
Discrete
Probability
Distributions
Continuous
Probability
Distributions
Binomial
Normal
Poisson
Uniform
Hypergeometric
Statistics for Managers Using Microsoft Excel® 7e Copyright ©2014 Pearson Education, Inc
...
6
Exponential
Chap 5-21
Binomial Probability Distribution
A fixed number of observations, n
e
...
, 15 tosses of a coin; ten light bulbs taken from a
Title: Distributions
Description: A statistical distribution is a mathematical function that describes the probabilities of all possible outcomes of a random variable. The type of distribution used to model a particular set of data depends on the nature of the data and the research question being addressed.
Description: A statistical distribution is a mathematical function that describes the probabilities of all possible outcomes of a random variable. The type of distribution used to model a particular set of data depends on the nature of the data and the research question being addressed.