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Fundamentals of statistical analysis - evaluating statistical information, performing data analyses, and interpreting and communicating analytical results; applying contemporary statistical concepts, such as bootstrapping, are introduced to supplement traditional statistical methods.

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Statistics

Fundamentals of statistical analysis - evaluating statistical information, performing data analyses, and interpreting and communicating analytical results; applying contemporary statistical concepts, such as bootstrapping, are introduced to supplement traditional statistical methods.

Use the R language for statistical analysis, data visualization, and report generation. Topics covered include:

descriptive statistics

central tendency

exploratory data analysis

probability theory

discrete and continuous distributions

statistical inference

correlation

multiple linear regression

contingency tables

chi-square tests

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Fundamentals of statistical analysis - evaluating statistical information, performing data analyses, and interpreting and communicating analytical results; applying contemporary statistical concepts, such as bootstrapping, are introduced to supplement traditional statistical methods.

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