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Hands-on workshop will cover
1. EXPLORATORY
DATA ANALYSIS (EDA)
· Measurement
Scales: Nominal, Ordinal, Interval, Ratio
· Descriptive
Statistics: Mean, Median,
Mode, Mode, Variance, Std. Deviation, Std. Error, Range
· Some
Useful Graphical Techniques in EDA:
Pie & Bar Charts, Box plots, Stem and Leaf Display, Frequency &
Relative Histograms, Ogives
2. ESTIMATION
& HYPOTHESIS TESTING
· Point
Estimates, Normal and t-distributions, Confidence Interval
for Population Means & Proportions, Confidence Interval for the
Difference of Two Population means & Proportions
· Basic
Concepts in Hypothesis Testing:
Null/Alternative Hypotheses on Means and Proportions, Type I & II
Errors, p-value, sample size for estimating population means
& proportions.
· 1-Way
ANOVA, Multiple Comparisons tests
· Contingency
Tables: Chi-square tests of homogeneity and Independence
3. REGRESSION
ANALYSIS
· Scatter
plots and Correlations, Simple Linear Regression, Logistic
Regression
4. INTRODUCTION
TO SURVIVAL ANALYSIS
· Empirical
estimates of survival distributions (Kaplan-Meier estimates)
· Comparing
survival distributions (Log-Rank Test) |