11.01 Scatterplots
In this video, students will analyze scatterplots for strength, direction, and form, and identify potential outliers.
11.02 Correlation
In this video, students will interpret the correlation coefficient.
11.03 Determining the Line of Best Fit
In this video, students will determine the line of best fit using least-squares regression.
11.04 Making Predictions
In this video, students will use the line of best fit to make predictions for a value of y given a value of x.
11.05 Interpreting Slope and y-Intercept
In this video, students will interpret the slope and the y-intercept.
11.06 The Median-Median Line and Least Absolute Value Line
In this video, students will learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line.
11.07 Outliers and Influential Points
In this video, students will identify outliers and influential points and their effects on the regression line and correlation coefficient.
5.01 Measuring Center of a Distribution
In this video. students will learn three measurements of center, calculate those measurements, and compare the mean and median of data sets.
5.02 Measuring Spread of a Distribution
In this video, students will learn four measurements of spread, and calculate them by hand and on a calculator for several data sets.
5.03 Outliers
In this video, we will see how outliers affect data sets and measures of center and spread.
5.04 Visualizing and Transforming Data: Implications for Mean and Standard Deviation
In this video, we will observe how the mean and standard deviation change based on different values in a data set.
5.05 Introduction to the Empirical Rule
In this video, we introduce the normal distribution and the empirical rule.
5.06 The Normal Distribution
In this video, we continue with the normal distribution and introduce how to use the Z table.
Graphing Proportional Relationships
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.
Analyzing Scatterplots
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.
Writing Geometric Relationships
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.
Solutions of Simultaneous Equations
Given a graph of two simultaneous equations, students will be able to interpret the intersection of the graphs as the solution to the two equations.
Comparing and Explaining Transformations
Given rotations, reflections, translations, and dilations, students will be able to develop algebraic representations for rotations, and generalize and then compare and contrast the properties of congruence transformations and non-congruence transformations.
Mean Absolute Deviation
Given a set of data with no more than 10 data points, students will be able to determine and use the mean absolute deviation to describe the spread of the data.
Generalizing about Populations from Random Samples
Given a population with known characteristics, students will be able to use a variety of methods to generate random samples of the same size in order to understand how a random sample is representative of a population.