IB Mathematics Analysis and Approaches SL Statistics and Probability
Course

IB Mathematics Analysis and Approaches SL – Statistics and Probability

4.1 Descriptive Statistics
4.2 Representing Data
4.3 Exploring Data
4.4 Linear Correlation
4.5 Probability
4.6 Expectation
4.7 Binomial Distribution
4.8 Normal Distribution

62 Lessons

Course Materials

DESCRIPTIVE STATISTICS

Populations and Samples

Bias

Mean from Data in Class

Samples and Sampling

REPRESENTING DATA

Frequency Tables

Frequency Histogram and Frequency Polygons

Cumulative Frequency Polygon

Cumulative Frequency Graphs and Ogive

Box-and-Whisker Plots

EXPLORING DATA

Outliers, Shapes and Skewness

Median

Mean

Mode

Measures of Central Tendency and Spread

Range and Interquartile Range

Sample Standard Deviation

Comparing Spread using Standard Deviation

Variance and Standard Deviation

LINEAR CORRELATION

Line of Best Fit

Least Squares Regression Line

PROBABILITY

Introduction to Probability

Experimental Probability

Sample Space

Theoretical Probability

Fair Games

Laws of Probability

Complementary Events

Sets and Venn Diagrams

Tree Diagrams

Using Grids

Tables of Outcomes or Two-Way Tables

Mutually Exclusive Events

Conditional Probability

Dependent Events

Independent Events

Sampling With Replacement

EXPECTATION

Expectation Theory

Expected Value

Fair Games and Expectation

Discrete Random Variables

Discrete Probability Distributions

Expectation

BINOMIAL DISTRIBUTION

Binomial Distribution

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