STA2020 Applied Statistics (STA2020)

University of Cape Town (UCT)

Here are the best resources to pass STA2020 Applied Statistics (STA2020). Find STA2020 Applied Statistics (STA2020) study guides, notes, assignments, and much more.

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STA2020S Lecture Notes
  • STA2020S Lecture Notes

  • Class notes • 62 pages • 2024
  • This document contains the full lecture notes for the STA2020S course at the University of Cape Town (UCT) as of 2022. The notes cover all the modules covered in the course.
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STA2020 (Applied Statistics) ANOVA Summary
  • STA2020 (Applied Statistics) ANOVA Summary

  • Summary • 23 pages • 2021
  • Available in package deal
  • This is a complete and comprehensive summary of the analysis of variance (ANOVA) section of the STA2020 - Applied Statistics course. It contains everything you need to know to fully understand and do well in this section. Ideal for test/exam preparation! The sub-sections covered are an introduction to ANOVA, completely randomised design, randomised blocks design, multiple comparisons, factorial design and the ANOVA assumptions.
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STA2020 (Applied Statistics) Regression Summary
  • STA2020 (Applied Statistics) Regression Summary

  • Summary • 18 pages • 2021
  • Available in package deal
  • This is a complete and comprehensive summary of the regression section section of the STA2020 - Applied Statistics course. It contains everything you need to know to fully understand and do well in this section. Ideal for test/exam preparation! The sub-sections covered are an introduction to statistical inference, hypothesis testing, correlation analysis, simple linear regression, multiple linear regression, model building and logistic regression.
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STA2020 (Applied Statistics) Time Series Summary
  • STA2020 (Applied Statistics) Time Series Summary

  • Summary • 38 pages • 2021
  • Available in package deal
  • This is a complete and comprehensive summary of the time series section of the STA2020 - Applied Statistics course. It contains everything you need to know to fully understand and do well in this section. Ideal for test/exam preparation! The sub-sections covered are autocorrelation, stationarity, components of a non-stationary time series, moving average smoothing, classical decomposition, simple forecasting methods, transformations, diagnostic checks for residuals, forecasting accuracy, pre...
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