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Semester 1, 2020 Lecturer: Amy Perfors Statistical Software: R H1 notes on all lecture video content Week 1-11 Additional: Self-Made Scenarios for each statistical test ( I recommend using these as practice questions before the exam) Contents Week 1: Operators, Functions, Variables and Vectors Week 2: Basics of Research, Data Manipulation and Statistics Week 3: Tables and Data Manipulation Week 4: Graphs and Plots, Geoms, Colours and Miscellaneous Week 5: Break Week 6: Probability, Distributions, Sampling Distribution, CLT, NLST and Statistical Decisions Week 7: Goodness of Fit, Test of Independence, Miscellaneous Week 8: One Sample Theory, One Sample Practice, Independent Samples, Paired Samples T-test and Assumptions Week 9: One-Way and Two-Way ANOVA Week 10: Correlation and Regression, Psychological Assessment Week 11: Psychological Assessment Additional Content: All Statistical Test Summary and Scenarios


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Semester 1, 2020


37 pages

11,909 words

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