Biometry 244

Stellenbosch University (SUN)

Here are the best resources to pass Biometry 244. Find Biometry 244 study guides, notes, assignments, and much more.

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Concept 5 - Multi-Sample Hypothesis testing Concept 5 - Multi-Sample Hypothesis testing
  • Concept 5 - Multi-Sample Hypothesis testing

  • Summary • 11 pages • 2020
  • Summary comprising of Textbook and Lecture Notes. Understanding the background and importance of multiple t tests ; How to execute the multiple hypthesis tests, ANOVA; Understanding the concept of completely randomised design; Explination of underlying assumptions from multiple hypothesis testing; Construct confidence intervals; Understanding the ANOVA model; The Kruskal-Wallis test.
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Concept 1 - Introduction to Experimental Design Concept 1 - Introduction to Experimental Design
  • Concept 1 - Introduction to Experimental Design

  • Summary • 6 pages • 2020
  • Summaries comprised of Textbook and Lecture Notes. Includes Definting the deferience between Observational studies and Experimental Studies ; All terminology associated with Experimental Design and thorough explinations of them.
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Concept 2 - One Sample Hypothesis and Introduction to Confidence intervals Concept 2 - One Sample Hypothesis and Introduction to Confidence intervals
  • Concept 2 - One Sample Hypothesis and Introduction to Confidence intervals

  • Summary • 18 pages • 2020
  • Summary comprised of Textbook and Lecture notes One sample hypthesis testing, with regards to one-sided t tests and two-sided t tests; Explinations of assumptions underlying these t tests; Explination and examples on Confidence Intervals; The difference between parametric and non-parametric tests.
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Concept 3 and 4 - Two Sample Hypothesis and Paired-sample Hypothesis Concept 3 and 4 - Two Sample Hypothesis and Paired-sample Hypothesis
  • Concept 3 and 4 - Two Sample Hypothesis and Paired-sample Hypothesis

  • Summary • 8 pages • 2020
  • Summary comprises of Textbook and Lecture Notes. Undertstanding when to apply two sample hypothesis tests regarding the difference in means (one-sided/two-sided t tests and equal/unequal variances); The assumptions underlying the two sample hypothesis testing; How to construct confidence intervals; The F test for difference between two variances ; The Mann-Whitney test; Paired-sample Hypothesis (one-sided/two sided t test, assumptions, condidence intervals)
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