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Statistics for Life Sciences
STAT 3332
School of Natural Sciences and Mathematics
Graphs, histograms, mean, median, standard deviation, Chebyshev's inequality, standardized scores, simple linear regression and correlation; basic rules of probability, Bayes theorem; Normal t, chi squared, F, binomial and Poisson distributions; point estimation; hypothesis tests and confidence intervals for means, proportions regression coefficients, and correlation; one way ANOVA; contingency tables. Applications in life sciences will be emphasized throughout the course. May not used to satisfy degree requirements for mathematics, engineering, or computer science majors. 3 credit hours.
Prerequisite: MATH 2413 or MATH 1325 or equivalent.
Offering Frequency: Each semester
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Statistics for Life Sciences
STAT 3332
School of Natural Sciences and Mathematics
Graphs, histograms, mean, median, standard deviation, Chebyshev's inequality, standardized scores, simple linear regression and correlation; basic rules of probability, Bayes theorem; Normal t, chi squared, F, binomial and Poisson distributions; point estimation; hypothesis tests and confidence intervals for means, proportions regression coefficients, and correlation; one way ANOVA; contingency tables. Applications in life sciences will be emphasized throughout the course. May not used to satisfy degree requirements for mathematics, engineering, or computer science majors. 3 credit hours.
Prerequisite: MATH 2413 or MATH 1325 or equivalent.
Offering Frequency: Each semester
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