Academic Programs

Statistics for Scientists

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The organization of data, discrete distributions (binominal, Poisson), continuous distributions (uniform, normal and skewed) and linear combinations of variables are studied. The techniques of hypothesis testing and interval estimation are applied to problems involving means, variances, proportions, frequency tables, regression and correlation. Students are introduced to the use of statistical computer software. Students may only retain credit for one of MATH 2261, MATH 2236, MATH 2246 & ENGR 2017. PREREQ: MATH 1036. (lec 3, tut 1) cr 3

Course Code: STAT-2246EL
Department Description: Mathematics & Computer Science
Credits: 3.00
Course Type: Undergraduate
Course Status: Active
SUDBURY CAMPUS
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