Arithmetic Sequences and Geometric Sequences
Students look at arithmetic and geometric patterns in real-world scenarios, and explain and apply the patterns by extending sequences to find the missing value and comparing the growth of these sequences.
Algebra I Lessons
Our math resources include video tutorials and short, self-paced modules.
Sequences as Functions
Students look at arithmetic patterns as linear functions and geometric patterns as exponential functions, and use the equations and graphs of these functions to form conclusions and make predictions.
Making the Most, or the Least, of Linear Inequalities
Students graph systems of linear inequalities in two variables and interpret solution sets to solve problems involving the optimal solution set in a system of linear inequalities.
Form Follows Function
Students examine various representations of quadratic functions, and rewrite quadratic functions that are presented in standard form into factored and vertex forms.
It's Hip to Be Square
Students learn how to transform a quadratic equation into vertex form to solve the vertex and the zeros of a quadratic function.
Being Rational About Irrational Numbers
Students examine real numbers and explore why the sum or product of two rational numbers is rational, and why the sum or product of a rational and irrational number is irrational.
Putting the Pieces Together
Students graph piecewise and step functions, and use these graphs to model and solve real-world problems.
Transforming Functions
Students identify the effect on the graph of f(x) when replacing f(x) for specific values of k.
Deviating From the Standard
Students use the measures of center and spread to describe , interpret and compare one-variable data sets.
Correlations, Coefficients and Conclusions
Students perform linear, exponential and quadratic regressions, and analyze the fit of a regression line/curve using correlation coefficients and the coefficient of determination.
Curve Fitting and Residual Plots
Students perfume linear, exponential and quadratic regressions to determine the curve of best fit for a set of data, and analyze the fit of the regression curve to determine the best fit for the data.
This Way and That
Students summarize categorical data in two-way frequency tables, and interpret the frequencies in the context of the data.