Description
These are handwritten notes for the fourth topic of the new Analysis & Approaches HL (AAHL / A&A HL) course, for first exams in 2021 - statistics and probability. This has the 8 subtopics that are included in SL, plus an additional 10 subtopics for HL. There will also be significant overlap with the A&I Topic 3. I wrote and sold notes for the old IB courses, which have been fairly successful, so I am in the process of writing notes for the new courses, from scratch.
If you want a preview, try the first topic of the new AASL course for free
Please ‘follow’ my shop, so you will be notified when the remainder of the notes become available over the next few months. Please let me know if you have any feedback or improvements that could be made.
4.1 - Basics
4.2 - Presentation of Data
4.3 - Averages, Dispersion
4.4 - Regression, Correlation
4.5 - Probability Basics
4.6 - Venns, Trees, Combined Probability
4.7 - Discrete Random Variables
4.8 - Binomial Distribution
4.9 - Normal Distribution
4.10 - x-on-y regression
4.11 - Conditional independence
4.12 - Z-dist., standardisation
4.13 - Bayes' Theorem [AHL]
4.14 - Continuous Random Variables [AHL]
Highlights
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Description
These are handwritten notes for the fourth topic of the new Analysis & Approaches HL (AAHL / A&A HL) course, for first exams in 2021 - statistics and probability. This has the 8 subtopics that are included in SL, plus an additional 10 subtopics for HL. There will also be significant overlap with the A&I Topic 3. I wrote and sold notes for the old IB courses, which have been fairly successful, so I am in the process of writing notes for the new courses, from scratch.
If you want a preview, try the first topic of the new AASL course for free
Please ‘follow’ my shop, so you will be notified when the remainder of the notes become available over the next few months. Please let me know if you have any feedback or improvements that could be made.
4.1 - Basics
4.2 - Presentation of Data
4.3 - Averages, Dispersion
4.4 - Regression, Correlation
4.5 - Probability Basics
4.6 - Venns, Trees, Combined Probability
4.7 - Discrete Random Variables
4.8 - Binomial Distribution
4.9 - Normal Distribution
4.10 - x-on-y regression
4.11 - Conditional independence
4.12 - Z-dist., standardisation
4.13 - Bayes' Theorem [AHL]
4.14 - Continuous Random Variables [AHL]


