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Grade 12 Math Courses - BC Curriculum

Discover BC's Grade 12 math options: Foundations, Geometry, Pre-Calculus, Calculus, and Statistics. Prepare for post-secondary education and future careers with these advanced courses tailored to diverse learning paths.

Foundations 12

Geometry 12

Pre-Calculus 12

Calculus 12

Statistics 12

BC Grade 12 Math Curriculum - Advanced Math Courses

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Content-Elaborations
StudyPug Topic
BC.CE.ST12.1
Role of statistical thinking in research and scientific method: Census vs sample, research questions, target population, historical perspective, role of data
Determining probabilities using tree diagrams and tables
Classification of data
Sampling methods
Census and bias
BC.CE.ST12.3
Common graphical representations of variation: Bar charts, histograms, dot plots, boxplots, scatterplots, tables, use of software
Frequency distribution and histograms
Organizing data
Reading and drawing bar graphs
Reading and drawing histograms
Reading and drawing line graphs
Box-and-whisker plots and scatter plots
Bivariate, scatter plots and correlation
Reading and drawing Venn diagrams
Stem and leaf plots
Frequency polygons
Shapes of distributions
Frequency tables and dot plots
BC.CE.ST12.4
Use of summary statistics to describe variation: Measures of center, spread, five-number summary, Chebyshev's inequality, correlation
Center of a data set: mean, median, mode
Spread of a data set - standard deviation & variance
Measures of relative standing - z-score, quartiles, percentiles
Probability distribution - histogram, mean, variance & standard deviation
BC.CE.ST12.5
Association between two variables: Contingency tables, clustered/stacked bar charts, scatterplots, correlation and causation
Regression analysis
Equation of the best fit line
BC.CE.ST12.6
Probability models for variation: Binomial distribution, normal distribution, central limit theorem, simulation software
Probability of independent events
Addition rule for "OR"
Multiplication rule for "AND"
Conditional probability
Probability involving permutations and combinations
Binomial distribution
Mean and standard deviation of binomial distribution
Introduction to normal distribution
Normal distribution and continuous random variable
Z-scores and random continuous variables
Sampling distributions
Central limit theorem
Law of total probability
Bayes' rule
Poisson distribution
Geometric distribution
Negative binomial distribution
Hypergeometric distribution
Probability with Venn diagrams
Properties of expectation
BC.CE.ST12.7
Intuition and appreciation of inferential concepts: Simulations for inferences, interval estimation, randomization/permutation tests
Point estimates
Confidence levels and critical values
Margin of error
Making a confidence interval
Rare event rule
Chi-Squared confidence intervals
Confidence intervals to estimate population mean
Student's t-distribution
BC.CE.ST12.9
Communication of statistical findings: Writing reports, presenting research projects, communicating to target audience
Null hypothesis and alternative hypothesis
Proving claims
Confidence levels, significance levels and critical values
Test statistics
Traditional hypothesis testing
P-value hypothesis testing
Chi-Squared hypothesis testing
Mean hypothesis testing with t-distribution
Analysis of variance (ANOVA)
Chi-square goodness of fit test
Type 1 and type 2 errors

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