STA220H1 Lecture Notes - Lecture 1: Standard Deviation, Interquartile Range, Frequency Distribution

One variable statistics for a quantitative variable: five number summary. A five - number summary we normally use as a descriptive method when analyzin

STA220H1 Lecture Notes - Lecture 2: Categorical Variable, Dependent And Independent Variables, Scatter Plot

Contingency tables (also known as cross-tabulations or two-way tables) Turns each count in the table into a percentage of individuals who fit a specifi

STA220H1 Lecture Notes - Lecture 3: Mutual Exclusivity, Collectively Exhaustive Events, Sample Space

STA220H1 Lecture Notes - Lecture 4: Discrete Uniform Distribution, Bernoulli Trial, Random Variable

STA220H1 Lecture Notes - Lecture 4: Scons, Box Plot, Master Of Surgery

STA220H1 Lecture Notes - Lecture 5: Simple Random Sample, Multistage Sampling, Cluster Sampling

STA220H1 Lecture Notes - Lecture 6: Confounding, Internal Validity, Dependent And Independent Variables

STA220H1 Lecture Notes - Lecture 7: Scatter Plot, Statistical Hypothesis Testing, Statistic

STA220H1 Lecture Notes - Lecture 8: Confidence Interval, Statistical Parameter, Statistic

STA220H1 Lecture Notes - Lecture 10: Poisson Distribution, Oversampling, Standard Deviation

STA220H1 Lecture Notes - Lecture 11: Linear Regression, Regression Analysis, The Intercept

STA220H1 Lecture Notes - Lecture 12: Ordinary Least Squares, Simple Linear Regression, Regression Analysis

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An introductory course in statistical concepts and methods, emphasizing exploratory data analysis for univariate and bivariate data, sampling and experimental designs, basic probability models, estimation and tests of hypothesis in one-sample and comparative two-sample studies. A statistical computing package is used but no prior computing experience is assumed. Note: STA220H1does not count as a distribution requirement course.

The Practice of Statistics I

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