Mathematics: Applications and Interpretation SL
Statistics and probability
Applied statistics, probability models, regression, technology interpretation, and data-based reasoning for Mathematics AI SL.
Interpret correlation and regression models
Use a fitted linear model to interpret slope, intercept, correlation direction, and predictions in applied AI SL contexts.
Calculate descriptive statistics with technology
Use and interpret mean, median, spread, and technology summary statistics.
Interpret box plots and outliers
Read quartiles, interquartile range, skew, and outliers from summary displays.
Interpret correlation strength and direction
Use scatter plots and correlation values to describe association.
Use residuals to judge model fit
Calculate and interpret residuals and decide whether a model overpredicts or underpredicts.
Calculate probability with diagrams
Use tree diagrams, Venn diagrams, and sample spaces to calculate probability.
Use binomial distributions in context
Model repeated independent trials and interpret binomial probabilities.
Use normal distributions in context
Standardize values and interpret normal probabilities in applied settings.