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It is more beneficial to combine multiple related math appropriately. For example, many statistical problems involve modeling of functions to find the best-fit curve.
It is more beneficial to combine multiple related math appropriately. For example, many statistical problems involve modeling of functions to find the best-fit curve.
According to IB, students are encouraged to explore a little beyond the syllabus for inspiration. Hence, students are also recommended to look into the other SL course syllabus, as Applications and Analysis expand on different fields of math. For example, an SL Analysis student who wishes to explore Statistics, they are recommended to look into SL Applications textbook for more reference. An SL Applications student who wishes to explore Calculus may look into SL Analysis textbook for more reference.
According to IB, students are encouraged to explore a little beyond the syllabus for inspiration. Hence, students are also recommended to look into the other SL course syllabus, as Applications and Analysis expand on different fields of math. For example, an SL Analysis student who wishes to explore Statistics, they are recommended to look into SL Applications textbook for more reference. An SL Applications student who wishes to explore Calculus may look into SL Analysis textbook for more reference.
SL Applications
SL Applications
Statistics
Pearson correlation coefficient
Least squares regression
Spearman rank coefficient
Hypothesis testing
Probability
Binomial distribution
Normal distribution
Expectation
Conditional probability
Calculus
Properties of curves
Rates of change
Optimization
Area under curves
Functions
Trigonometric functions
Modeling using different types of functions
Voronoi diagrams
Financial math
SL Analysis
SL Analysis
Statistics
Pearson correlation coefficient
Least squares regression
Regression line of x against y
Probability
Binomial distribution
Binomial Theorem
Normal distribution
Standard normal distribution
Expectation
Conditional probability
Calculus
Properties of curves
Rates of change
Related rates
Optimization
Area under/above/between curves
Kinematics
Functions
Trigonometric functions and equations
Modeling using different types of functions
Transformations of functions
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