An introduction to econometric description and inference which covers: descriptive statistics for cross-section and time-series samples; probability, discrete and continuous probability distributions, random variables; estimators and sampling distributions; confidence intervals and tests of hypotheses; simple linear regression for normal and non-normal populations.
Extra Information: 3 lecture hours.
Note: This course cannot be taken concurrently with or prior to taking Data Science 1000A/B as they will become antirequisites to one another in these sequences.
Course Weight: 0.50
Breadth:
CATEGORY A
i
Subject Code: ECONOMIC
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