NTRES 3130

NTRES 3130

Course information provided by the Courses of Study 2014-2015.

In this course, students develop statistical methods and apply them to problems encountered in the biological and environmental sciences. Methods include data visualization, population parameter estimation, sampling, bootstrap resampling, hypothesis testing, the Normal and other probability distributions, and an introduction to linear modeling. Applied analysis is carried out in the R statistical computing environment.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: one semester of calculus.

Outcomes
  • Students will be able to discuss and explain hypothesis testing and the basic principles of probability and statistics.
  • Students will be able visualize trends in complex data sets and develop simple models for analysis.
  • Students will be able to estimate population means, variances, standard deviations, and standard errors through a variety of methods.
  • Students will be able to critically evaluate the assumptions upon which statistical estimation is based.
  • Students will be able to conduct a single-sample, two-sample, and paired t-tests.
  • Students will be able to conduct goodness-of-fit tests, contingency tables, simple linear regression and one-way analysis of variance.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3010STSCI 2200

  • 4 Credits Stdnt Opt

  •  1722NTRES 3130  LEC 001

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    Prerequisite: one semester of calculus.

  •  1723NTRES 3130  LAB 401

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  •  1724NTRES 3130  LAB 402

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  •  1725NTRES 3130  LAB 403

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  •  1726NTRES 3130  LAB 404

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  •  1727NTRES 3130  LAB 405

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  •  1728NTRES 3130  LAB 406

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