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1
Lecture 2
This lecture introduces you to
1. Review of probability / statistics
2. Topic: What is the effect on test scores of
reducing class size?
3. Introduction to STATA
Visit http://eco323fall08.wordpress.com/ for class
information and more!
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2
Review of Probability and Statistics
(SW Chapters 2, 3)
• How much do you remember from Eco230?
o Q1: Let X be the random variable distributed as Normal
(5,4). Find the probabilities of the following events
� P(X ≤ 6)
� P(X > 4)
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3
Moments of a population distribution: mean, variance, standard deviation
mean = expected value (expectation) of Y
= E(Y)
= µY
variance = E(Y – µY)2
= 2
Yσ
standard deviation = variance = σY
covariance between X and Z = cov(X,Z)
= E[(X – µX)(Z – µZ)] = σXZ
cf. corr(X,Z) = cov( , )
var( ) var( )
XZ
X Z
X Z
X Z
σσ σ
= = rXZ
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4
Review of Probability and Statistics
(SW Chapters 2, 3)
• How much do you remember from Eco230?
o Q1: Let X be the random variable distributed as Normal
(5,4). Find the probabilities of the following events
� P(X ≤ 6)
� P(X ≥ 4)
![Page 5: Lecture 2 · 1 Lecture 2 This lecture introduces you to 1. Review of probability / statistics 2. Topic: What is the effect on test scores of reducing class size?2 Review of Probability](https://reader036.vdocument.in/reader036/viewer/2022063009/5fbf4c98125469753a1a8da1/html5/thumbnails/5.jpg)
5
The mean and variance of the
sampling distribution of Y
mean: E(Y ) = E(1
1 n
i
i
Yn =∑ ) =
1
1( )
n
i
i
E Yn =∑ =
1
1 n
Y
inµ
=∑ = µY
Variance: var(Y ) = E[Y – E(Y )]2
= E[Y – µY]2
= E
2
1
1 n
i Y
i
Yn
µ=
−
∑
= E
2
1
1( )
n
i Y
i
Yn
µ=
−
∑
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6
so var(Y ) = E
2
1
1( )
n
i Y
i
Yn
µ=
−
∑
= 1 1
1 1( ) ( )
n n
i Y j Y
i j
E Y Yn n
µ µ= =
− × −
∑ ∑
= 2
1 1
1( )( )
n n
i Y j Y
i j
E Y Yn
µ µ= =
− − ∑∑
= 2
1 1
1cov( , )
n n
i j
i j
Y Yn = =∑∑
= 2
21
1 n
Y
inσ
=∑
= 2
Y
n
σ
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7
Sampling distribution of when Y
is Bernoulli, p = 0.78:
Y
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8
The Central Limit Theorem (CLT):
If (Y1,…,Yn) are i.i.d. and 0 < 2
Yσ < ∞, then when n is large
the distribution of Y is well approximated by a normal
distribution N(µY, 2
Y
n
σ).
→That is, ( )
var( )
Y E Y
Y
− =
/
Y
Y
Y
n
µσ−
is approximately distributed
as N(0,1)
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9
Review of Probability and Statistics
o Q2: You are hired by the governor to study whether a tax
on liquor has decreased average liquor consumption in
your state.
o You are able to obtain the difference in liquor
consumption Y (in ounces) for the years before and after
the tax. Treat this as a random sample from a Normal (µ,
σ2) distribution
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10
Review of Probability and Statistics
(SW Chapters 2, 3)
o Q2: You are hired by the governor to study whether a tax on liquor
has decreased average liquor consumption in your state. You are
able to obtain the difference in liquor consumption Y (in ounces) for
the years before and after the tax. Treat this as a random sample
from a Normal (µ, σ2) distribution
(a)The null hypothesis is that there was no change in
average liquor consumption. State this formally in terms
of µ
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11
Review of Probability and Statistics
(SW Chapters 2, 3)
o Q2: You are hired by the governor to study whether a tax on liquor
has decreased average liquor consumption in your state. You are
able to obtain the difference in liquor consumption Y (in ounces) for
the years before and after the tax. Treat this as a random sample
from a Normal (µ, σ2) distribution
(b)The alternative is that there was a decline in liquor
consumption. State the alternatives in terms of µ
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12
Review of Probability and Statistics
(SW Chapters 2, 3)
o Q2: You are hired by the governor to study whether a tax on liquor
has decreased average liquor consumption in your state. You are able
to obtain the difference in liquor consumption Y (in ounces) for the
years before and after the tax. Treat this as a random sample from a
Normal (µ, σ2) distribution
(c)Now suppose your sample size is n = 900 and you
obtain the estimates y_bar=-32.8 and s=466.4. Calculate
the test statistic for testing H0 against H1.