All Courses
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Spring 2020 - Laboratory (STAT-2050-11)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Laboratory (STAT-2050-12)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Laboratory (STAT-2050-13)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Laboratory (STAT-2050-14)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Laboratory (STAT-2050-15)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Laboratory (STAT-2050-16)
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lab
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Spring 2020 - Intro Stat-Soc Sci (STAT-2070-01)
Presents central ideas of descriptive statistics and statistical inference, as applied to questions in social sciences. Includes graphs, averages, sampling, estimation, hypothesis-testing and relationships between variables. Introduces associated computer skills. Credit cannot be earned in more than one of STAT 2010, 2050, 2070, 4220, 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent. 1/27/2020 - 5/8/2020, Lecture
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Spring 2020 - Laboratory (STAT-2070-10)
1/27/2020 - 5/8/2020, Lab, STEM, 205
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Spring 2020 - Laboratory (STAT-2070-11)
1/27/2020 - 5/8/2020, Lab, STEM, 205
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Spring 2020 - Laboratory (STAT-2070-12)
1/27/2020 - 5/8/2020, Lab, STEM, 205
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Spring 2020 - Laboratory (STAT-2070-15)
1/27/2020 - 5/8/2020, Lab, STEM, 205
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Spring 2020 - Laboratory (STAT-2070-14)
1/27/2020 - 5/8/2020, Lab, STEM, 205