Given similar figures, the student will use critical attributes to define similarity.

Given a pair of similar figures, including dilations, students will be able to generalize that the lengths of corresponding sides are proportional.

Given a proportional relationship, students will be able to graph a set of data from the relationship and interpret the unit rate as the slope of the line.

Given a set of data, the student will be able to generate a scatterplot, determine whether the data are linear or non-linear, describe an association between the two variables, and use a trend line to make predictions for data with a linear association.

Given information in a geometric context, students will be able to use informal arguments to establish facts about the angle sum and exterior angle of triangles, the angles created when parallel lines are cut by a transversal, and the angle-angle criterion for similarity of triangles.

Given a problem situation, students will use experimental data or theoretical probability to make predictions and determine solutions to situations involving independent events.

Given problem situations that include given or collected data, the student will analyze the data and make inferences and convincing arguments based on the data.

Given problem situations involving rational numbers, the student will select and use appropriate methods to solve the problems.

Given problem situations, the student will select and use appropriate operations to solve problems and justify the choice of operations.

Given problem situations, the student will use addition, subtraction, multiplication, and division to solve problems involving positive and negative fractions and decimals.

Given problem situations, the student will graph data with a constant rate of change to demonstrate relationships in familiar concepts, such as scaling.

Given problem situations involving percents, the student will estimate and find solutions to the problems.

In this video, students will be introduced to the construction and interpretation of confidence intervals.

In this video, students will learn to construct a confidence interval for a population mean.

In this video, students will learn to visualize the construction of a confidence interval.

In this video, students will learn to interpret a confidence interval.

In this video, students will learn to construct and interpret a confidence interval for one proportion.

In this video, students will explore how the components of a confidence interval affect its width.

In this video, students will analyze confidence intervals in the real world.

In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.