Sections
Time
    Mon/Wed 12:15 pm - 1:15 pm

Location
    Mon: CERAS 304   (Junga Kim)
    Wed: CERAS 304 (Juliana Bambaci)


 
Week                   Stata
                        Math/ Lecture
            Handouts
No Section
Download and open files
Basic Stat. Analysis 
          Handout Mon(1,2,3)
          Handout Wed(1, 2)
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( )
Stem; Boxplot; IQR
Tab x y, row col vs. ANOVA
Axiom vs. Theorem
Probability measures/numbers
Bayes’ Rule
Ex. Birthday problem
Ex. Disease/test problem
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)