Location
Mon: CERAS 304 (Junga Kim)
Wed: CERAS 304 (Juliana Bambaci)
Week
Stata
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Math/ Lecture
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Handouts
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No Section
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|
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Download and open files
Basic
Stat. Analysis
|
|
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Merging
Spreadsheets
Drawing
Regression Line
Using
Log File
|
Var(x),
Cov(x,y), Corr (x, y)
Standard
Unit
Skewness
vs. Kurtosis
|
Handout
Mon(1, Normal table)
Handout
Wed( )
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Stem;
Boxplot; IQR
Tab
x y, row col vs. ANOVA
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Axiom
vs. Theorem
Probability
measures/numbers
Bayes’
Rule
Ex.
Birthday problem
Ex.
Disease/test problem
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Handout
Mon(1)
Handout
Wed( )
|
Combining Dummy variables
into a Categorical Variable Sum lifeexp, d More options for graph |
Density function vs. cdf Probability function vs. density function Expected value vs. Mean IQR/ Mean/ Skewness (con'd) |
Handout
Mon(1)
Handout
Wed( Note on Bayes' Rule )
|
Problem Set II Q/A | ||
Creating Random Variables
- RV with Uniform/Binomial/Normal Distribution; Correlated RV's that have NDs. Simulations - Coin Tossing; Rolling a die (a pair of dice) Estimating the probability using Stata |
E(a + bY), V(a+bY), V(X+Y)
Expected Value of 'X' vs. Expected Value of 'the Mean of X' Variance of 'X' vs. Variance of 'the Mean of X' |
Handout Mon(1) |
Generating RV of “Sum of RVs” | Sampling without Replacement and a Correction
Factor
Estimating SD of the population using SD of the sample: “Sample Variance, S^2 ” as an unbiased estimator of population variance 95% Confidence Interval |
Handout Mon(1) |
t-test (mean comparison)
Calculating regression coefficients using Stata |
Basic assumptions/terms for Classical Regression | Handout Mon(1) |