Description
This resource has a pdf of handwritten notes for the fourth topic of the recently changed Applications and Interpretations HL (AIHL) course. This has the 11 subtopics that are included in A&I SL, plus an additional 7 subtopics for HL. There will also be significant overlap with the A&A Statistics. The other three courses have been available for a while, and I have only just been able to get A&I HL written, in time for the 2023 May exams.
My hope is that if you like this resource, 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.
This topic (statistics & probability) includes:
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 - Spearman’s Rank
4.11 - Statistical Testing
4.12 - Reliability & Validity (HL)
4.13 - Non-Linear Regression (HL)
4.14 - Random Variable Transformations (HL)
4.15 - Central Limit Theorem (HL)
4.16 - Confidence Intervals (HL)
4.17 - Poisson Distributions (HL)
4.18 - Hypothesis Testing (HL)
Highlights
Save even more with bundles
Description
This resource has a pdf of handwritten notes for the fourth topic of the recently changed Applications and Interpretations HL (AIHL) course. This has the 11 subtopics that are included in A&I SL, plus an additional 7 subtopics for HL. There will also be significant overlap with the A&A Statistics. The other three courses have been available for a while, and I have only just been able to get A&I HL written, in time for the 2023 May exams.
My hope is that if you like this resource, 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.
This topic (statistics & probability) includes:
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 - Spearman’s Rank
4.11 - Statistical Testing
4.12 - Reliability & Validity (HL)
4.13 - Non-Linear Regression (HL)
4.14 - Random Variable Transformations (HL)
4.15 - Central Limit Theorem (HL)
4.16 - Confidence Intervals (HL)
4.17 - Poisson Distributions (HL)
4.18 - Hypothesis Testing (HL)


