IB Mathematics Applications and Interpretation SL

Topic 4: Statistics and probability

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AI SL · Topic 4

Statistics and probability learning path

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SL 4.1 Data, Sampling and Reliability Populations and samples, discrete and continuous data, sampling methods, bias, data quality and outliers. SL 4.2 Presentation of Data Frequency tables, histograms, cumulative-frequency graphs, quartiles, box plots, TI-Nspire CX guidance and practice with full answers. SL 4.3 Measures of Centre and Spread Mean, median, mode, grouped estimates, quartiles, IQR, standard deviation, variance and data transformations, with TI-Nspire CX screenshots and worked practice. SL 4.7 Discrete Random Variables Probability distributions, expected value, net gains and fair games. SL 4.9 Normal Distributions Bell curves, normal probabilities and inverse normal calculations with a graphical calculator.

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AI SL course overview Topic 5: Calculus