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STA 221 Design and Analysis of Experiments I

ND2 levelSciences23 topics

STA 221 covers 23 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Simple statistical experiments
  2. Survey versus experiment
  3. Sample statistics and population parameters
  4. Treatments and experimental units
  5. Factors and replicates
  6. Randomization
  7. Pairing
  8. Replication principles
  9. Principles of experimental design
  10. Randomization, pairing and replication
  11. Random variation and experimental error
  12. Sample size determination
  13. Standard error for treatment differences
  14. Completely randomized design
  15. Randomized block design
  16. Planning simple statistical experiments
  17. Experiments for one-mean tests
  18. Paired and unpaired sample experiments
  19. Fixed and random effects models
  20. One-way classification
  21. Analysis of variance (ANOVA)
  22. Partitioning sums of squares
  23. One-way fixed-effects ANOVA

A sample from this course

One topic, as StudyPath teaches it.

Simple statistical experiments

Simple statistical experiments involve planning, conducting, and analysing experiments with a single quantitative response and one or more categorical or continuous factors, using basic statistical tools such as mean, variance, t‑tests, and simple linear regression.

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