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4 OnTRACK Grade 7 Math: Number and Operations

Students will learn how to apply mathematical process standards to represent and use real numbers in a variety of forms.

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19 OnTRACK Grade 7 Math: Proportionality

Students will learn to use proportional relationships to describe dilations; to explain proportional and non-proportional relationships involving slope; and to use proportional and non-proportional relationships to develop foundational concepts of functions.

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7 OnTRACK Grade 7 Math: Expressions, Equations, and Relationships

Students will learn to develop mathematical relationships and make connections to geometric formulas; use geometry to solve problems; use one-variable equations or inequalities in problem situations; and use multiple representations to develop foundational concepts of simultaneous linear equations.

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4 OnTRACK Grade 8 Math: Number and Operations

Students will learn how to apply mathematical process standards to represent and use real numbers in a variety of forms.

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11 OnTRACK Grade 8 Math: Proportionality

Students learn to to use proportional relationships to describe dilation; explain proportional and non-proportional relationships involving slope; and use proportional and non-proportional relationships to develop foundational concepts of functions.

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9 OnTRACK Grade 8 Math: Expressions, Equations, and Relationships

Students will learn to develop mathematical relationships and make connections to geometric formulas; use geometry to solve problems; use one-variable equations or inequalities in problem situations; and use multiple representations to develop foundational concepts of simultaneous linear equations.

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5 OnTRACK Grade 8 Math: Two-Dimensional Shapes, Measurement, and Data

Students will learn to develop transformational geometry concepts and to use statistical procedures to describe data.

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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 real-world 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 open-education-resource 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 open-education-resource instructional materials.

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6 OnTRACK English I Reading: Reading and Vocabulary Development Across Genres

OnTRACK English I Reading, Module 1, Lessons 1–5 and Practice Lesson. Students will understand new vocabulary and use it when reading and writing.

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4 OnTRACK English I Writing: Writing the Expository and Procedural Essay

OnTRACK English I Writing, Module 3, Lessons 1–4. Students write expository and procedural or work-related texts to communicate ideas and information to specific audiences for specific purposes

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7 Chapter 9: Hypothesis Testing

In this chapter, students will learn how to perform a hypothesis test and interpret its results.

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3 Chapter 1: Exploring Data

In this chapter, we introduce statistics, how it is used, and the types of data we come across in real life.

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4 Chapter 7: Sampling Distributions

In this chapter, students will describe and model variability using population and sampling distributions.

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7 Chapter 8: Confidence Intervals

In this chapter, students will learn how to construct and interpret a confidence interval for a population mean and a population proportion.

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5 Chapter 10: Comparing Two Groups

In this chapter, students interpret confidence intervals and the results of hypothesis tests for the difference between two means and the difference between two proportions.

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5 Chapter 3: Representing Categorical Data

In this chapter, we explore the different ways to display categorical data and draw conclusions based on the representations.

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8 Chapter 2: Data Collection, Sampling, and Experimental Design

In this chapter, we explore various methods of data collection and potential problems that may occur when collecting data.

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9 Chapter 6: Probability

In this chapter, students explore probability and random variables.

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6 Chapter 4: Representing Quantitative Data

In this chapter, we explore different ways to display quantitative data, and draw conclusions based on the representations.

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7 Chapter 11: Exploring Bivariate Data

In this chapter, students explore the relationship between two quantitative variables. Students will analyze scatterplots for strength, direction, and form; interpret the correlation coefficient; determine the line of best fit using least-squares regression; use the line of best fit to make predictions for a value of *y* given a value of *x*; interpret the slope and the *y*-intercept; learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line; and identify outliers and influential points and their effects on the regression line and correlation coefficient.