Given a quadratic equation, the student will make connections among the solutions (roots) of the quadratic equation, the zeros of their related functions, and the horizontal intercepts (x-intercepts) of the graph of the function.

Given verbal and symbolic descriptions of problems involving exponents, the student will simplify the expressions using the laws of exponents.

Given problem situations involving exponents, the student will use the laws of exponents to solve the problems.

Given algebraic, tabular, and graphical representations of linear functions, the student will determine the intercepts of the function and interpret the meaning of intercepts within the context of the situation.

Given verbal, symbolic, numerical, or graphical representations of problem situations, the student will interpret and predict the effects of changing the y-intercept in the context of the situations.

The student will represent linear inequalities using equations, tables, and graphs. The student will solve linear inequalities using graphs or properties of equality, and determine whether or not a given point is a solution to a linear inequality.

Given the graph of a situation represented by a quadratic function, the student will analyze the graph and draw conclusions.

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.

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

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

In this video, students use the central limit theorem to describe variability using a sample mean.

In this video, students will learn the steps of hypothesis testing and how to interpret its results.

In this video, students will learn how to perform a hypothesis test for one mean.