Introduction to Statistics for Biosciences

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( MATH 101 or MATH 105 or MATH 112 ) and ( MATH 102 or MATH 106 ) Description: An introduction to statistics for Biosciences with emphasis on statistical models and data analysis techniques. Computer-assisted data analysis and examples, are explored in laboratory sessions. Topics include descriptive statistics, correlation and regression, categorical data analysis, statistical inference through confidence intervals and significance testing, rates, and proportions. Real-world examples are emphasized. Recommended Prerequisite(s): MATH 212 or MATH 222→STAT 305→unlocks 28 courses

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