Mathematics
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Statistics and Probability – Students will: Investigate patterns of association in bivariate data.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data including multi-line graphs and scatterplots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data including multi-line graphs and scatterplots.
Statistics and Probability – Students will: Investigate patterns of association in bivariate data.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Statistics and Probability – Students will: Investigate patterns of association in bivariate data.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data including multi-line graphs and scatterplots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Data Analysis, Probability, and Discrete Mathematics Data Analysis (Statistics): Understand and apply data collection, organization, and representation to analyze and sort data.
Solve problems by selecting, constructing, and interpreting displays of data, including histograms and stem-and-leaf plots.
Measurement: Understand and apply appropriate units of measure, measurement techniques, and formulas to determine measurements.
Solve problems involving perimeter of 2-dimensional figures and area of rectangles.
Expressions and Equations – Students will: Apply and extend previous understandings of arithmetic to algebraic expressions.
Write and evaluate numerical expressions involving whole-number exponents.
Geometry – Students will: Solve real-world and mathematical problems involving volume of cylinders, cones, and spheres.
Know the formulas for the volumes of cones, cylinders, and spheres, and use them to solve real-world and mathematical problems.
Geometry – Students will: Solve real-world and mathematical problems involving volume of cylinders, cones, and spheres.
Know the formulas for the volumes of cones, cylinders, and spheres, and use them to solve real-world and mathematical problems.
Geometry – Students will: Solve real-world and mathematical problems involving volume of cylinders, cones, and spheres.
Know the formulas for the volumes of cones, cylinders, and spheres, and use them to solve real-world and mathematical problems.