
 Resource ID: SE131068
 Grade Range: 9–12
 Subject: Math
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.

 Resource ID: SE131069
 Grade Range: 9–12
 Subject: Math
11.05 Interpreting Slope and yIntercept
In this video, students will interpret the slope and the yintercept.

 Resource ID: SE131070
 Grade Range: 9–12
 Subject: Math
11.06 The MedianMedian Line and Least Absolute Value Line
In this video, students will learn about alternative methods of finding the line of best fit, including the medianmedian line and the absolute value line.

 Resource ID: SE131071
 Grade Range: 9–12
 Subject: Math
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.

 Resource ID: SE131073
 Grade Range: 9–12
 Subject: Math
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.

 Resource ID: SE131074
 Grade Range: 9–12
 Subject: Math
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.

 Resource ID: SE131075
 Grade Range: 9–12
 Subject: Math
5.03 Outliers
In this video, we will see how outliers affect data sets and measures of center and spread.

 Resource ID: SE131076
 Grade Range: 9–12
 Subject: Math
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.

 Resource ID: SE131077
 Grade Range: 9–12
 Subject: Math
5.05 Introduction to the Empirical Rule
In this video, we introduce the normal distribution and the empirical rule.

 Resource ID: SE131078
 Grade Range: 9–12
 Subject: Math
5.06 The Normal Distribution
In this video, we continue with the normal distribution and introduce how to use the Z table.

 Subject: Math
Study Edge Statistics
In Statistics, students build on the mathematics knowledge and skills from Kindergarten–grade 8 and Algebra I, broadening their knowledge of variability and statistical processes. Students will study sampling and experimentation, categorical and quantitative data, probability and random variables, inference, and bivariate data. Students will connect data and statistical processes to realworld situations and extend their knowledge of data analysis (TAC §111.47(b)(3)).
This video book is brought to you by TEA and Study Edge. It may be used to teach an entire Statistics course or to supplement traditional Statistics textbooks.
This openeducationresource instructional material by TEA is licensed under a Creative Commons Attribution 4.0 International Public License in accordance with Chapter 31 of the Texas Education Code.
Please provide feedback on Study Edge's openeducationresource instructional materials.

 Subject: Math
TEA Statistics
Statistics covers the scope and sequence requirements of a typical oneyear statistics course. The text provides
comprehensive coverage of statistical concepts, including quantitative examples, collaborative activities, and practical
applications. Statistics was designed to meet and exceed the requirements of the relevant Texas Essential
Knowledge and Skills (TEKS), while allowing significant flexibility for instructors. Content requirements for Statistics are prescribed in “Chapter 111. Texas Essential Knowledge and Skills for Mathematics, Subchapter C. High School, 111.47. Statistics, Adopted 2015” (http://ritter.tea.state.tx.us/rules/tac/chapter111/ch111c.html#111.47).This openeducationresource instructional material by TEA is licensed under a Creative Commons Attribution 4.0 International Public License in accordance with Chapter 31 of the Texas Education Code.

 Resource ID: M8M3L9*
 Grade Range: 8
 Subject: Math
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.

 Resource ID: M7M2L8
 Grade Range: 7
 Subject: Math
Converting Between Measurement Systems
Given a realworld situation with measurements in either metric/SI or customary units, the student will solve a problem requiring them to convert from one system to the other.

 Resource ID: M8M2L13*
 Grade Range: 8
 Subject: Math
Analyzing Scatterplots
Given a set of data, the student will be able to generate a scatterplot, determine whether the data are linear or nonlinear, describe an association between the two variables, and use a trend line to make predictions for data with a linear association.

 Resource ID: M7M2L11
 Grade Range: 7
 Subject: Math
Generating Similar Figures Using Dilations
Given a figure, the student will identify the scale factor used for a dilation, and use a dilation by a scale factor, including enlargements and reductions, to generate similar figures. 
 Resource ID: M7M2L19
 Grade Range: 7
 Subject: Math
Evaluating Methods of Sampling from a Set of Data
Given a problem situation, the student will evaluate a method of sampling to determine the validity of an inference made from the set of data.

 Resource ID: M7M3L15
 Grade Range: 7
 Subject: Math
Using Geometric Concepts and Properties to Solve Problems
Given pictorial representations, the student will use geometric concepts and properties to solve problems from art and architecture.

 Resource ID: M8M2L8*
 Grade Range: 8
 Subject: Math
Generating Different Representations of Relationships
Given problems that include data, the student will generate different representations, such as a table, graph, equation, or verbal description.

 Resource ID: M8M2L10
 Grade Range: 8
 Subject: Math
Predicting, Finding, and Justifying Data from a Graph
Given data in the form of a graph, the student will use the graph to interpret solutions to problems.