7962

Material for 7962 (generally, univariate and bivariate stats)
Lecture 1: terminology, types of variables

Lecture 2: Descriptive versus inferential statistics; samples; experiments; observational studies; recognizing the effects of other variables

Lecture 3: Analyzing data; means and standard deviations; measures of association; outliers; displaying data

Lecture 4: Margin of error; advantages and disadvantages of surveys; selecting (different types of) samples; ethical considerations

Lecture 5: Intro to probability

Lecture 6: Review of types of data, and ways to present data

Lecture 7: Laws of probability; binomial probability; binomial distributions; poisson distributions; empirical probabilities

Lecture 8: Discrete and continuous random variables; the normal distribution; the empirical rule for the normal distribution; z-scores; statistics and sampling distributions; normal curve approximation rule

Lecture 9: Null hypothesis; chi-square test; causation versus correlation; non-significant results

Lecture 10: Correlation

Lecture 11: Regression




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