ENTOM 3030
Last Updated
- Schedule of Classes - June 22, 2015 4:42PM EDT
- Course Catalog - June 11, 2015 6:21PM EDT
Classes
ENTOM 3030
Course Description
Course information provided by the Courses of Study 2014-2015.
In this course you will get hands-on experience in how to design, analyze and interpret biological experiments. This class will be particularly useful if you plan to conduct experiments in a greenhouse or field setting. You will learn to develop a scientific question, formulate biological and statistical hypotheses, derive testable predictions, design and conduct experiments, collect your own data, test the proposed hypotheses using appropriate statistical methods and finally interpret the statistical results within a broader conceptual framework. You will learn common statistical methods (chi-square tests, t-test, ANOVA, Regression) and in-class workshops will familiarize you with the software to run those statistical tests.
When Offered Spring.
Prerequisites/Corequisites Background in statistics is highly recommended.
Forbidden Overlaps Forbidden Overlap: BTRY 3020/NTRES 4130/STSCI 3200.
Outcomes
- Design and plan experiments based on scientific hypotheses.
- Construct a scientific question, formulate biological and statistical hypothesis, derive testable predictions, use a rigorous experimental design, and test the proposed hypotheses.
- Learn when and how to use different experimental designs such as paired designs, randomized blocks, Latin squares, and factorial designs among others.
- Understand the theory behind statistical analysis such as chi-square test, t-test, ANOVA, Regression and ANCOVA.
- Master running the above described analyses in R.
- Analyze and interpret the outcome from your own data and show a real understanding of the statistical methods.
- Interpret statistical results and make inferences on their biological hypotheses and original question.
- Effectively communicate in written and oral form statistical results in a biological context.
Regular Academic Session. Choose one lecture and one laboratory.
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Credits and Grading Basis
3 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- M Comstock Hall-Academic II B108
Instructors
Poveda, K
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Additional Information
Prerequisite: background in statistics is highly recommended.
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Class Number & Section Details
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Meeting Pattern
- F Comstock Hall-Academic II 2109
Instructors
Poveda, K
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