Sta2020 - Study guides, Study notes & Summaries
Looking for the best study guides, study notes and summaries about Sta2020? On this page you'll find 25 study documents about Sta2020.
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Sta2020F - Week 3 ( ANOVA)
- Summary • 15 pages • 2023
- Available in package deal
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Theresapoala
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Comprehensive notes of week 3 STA2020 (Anova)

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STA2020F - Week 2 (ANOVA)
- Summary • 9 pages • 2023
- Available in package deal
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Theresapoala
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- R99,00
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Comprehensive notes of week 2 in STA2020F
All lecture slides regarding regression. This includes correlation, Single Linear regression, Multiple Linear regression, Model building, and Logistic regression.

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Analysis of Variance (ANOVA)
- Class notes • 78 pages • 2023
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claudiacloete112
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- R50,00
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All lecture notes pertaining to Analysis of Variance (ANOVA). This includes One-way ANOVA, Two-way ANOVA (without interaction), and Two-way ANOVA (with interaction).
All lecture slides pertaining to Non-parametrics.
Comprehensive summary of ANOVA and regression (Weeks 1-4) just in time for test 1!
All lecture slides pertaining to time series.
Summary of Regression notes.

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STA2020 (Applied Statistics) Time Series Summary
- Summary • 38 pages • 2021
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stuviasisters
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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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STA2020 (Applied Statistics) ANOVA Summary
- Summary • 23 pages • 2021
- Available in package deal
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stuviasisters
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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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