8th Grade: Statistics

$19.75

In Grade 8 Statistics Unit, students learn about bivariate data. This involves combining knowledge of linear functions with data representations and analysis to move from univariate data in one variable to bivariate data in two variables. Students will learn to analyze and interpret data using measures of central tendency and variability. The lesson begins with an introduction to basic statistical vocabulary, such as mean, median, mode, and range. Students will then explore how to calculate and interpret these measures using real-world data sets. They will also learn about the concept of outliers and how they can affect statistical analysis. By the end of this lesson, students will have a solid foundation in statistical analysis that they can apply to a wide range of practical situations. PDF is hyper linked with over 50 items. The pfd contains links to:

  • 8 Printable Student Handout with QR code for video instruction

  • 8 Printable Daily Assessment: Mid-Lesson Assessment to check for understanding and/or differentiated flexible groupings

  • 8 Instructional Video Link: Includes Teacher Model and Guided Practice.

  • Google Slide Decks for each lesson

  • Teacher Notes and Answer Key for each lesson

  • Formative Link: e-Copy of the Student Materials on GoFormative.

Also provided is a complete unit overview, a PreTest, PostTest, 4 Quizzes and Student Reflections for each assessment. Answer Keys also added on GoFormative for instant data and student feedback. 30 Day free trial of GoFormative.

In Grade 8 Statistics Unit, students learn about bivariate data. This involves combining knowledge of linear functions with data representations and analysis to move from univariate data in one variable to bivariate data in two variables. Students will learn to analyze and interpret data using measures of central tendency and variability. The lesson begins with an introduction to basic statistical vocabulary, such as mean, median, mode, and range. Students will then explore how to calculate and interpret these measures using real-world data sets. They will also learn about the concept of outliers and how they can affect statistical analysis. By the end of this lesson, students will have a solid foundation in statistical analysis that they can apply to a wide range of practical situations. PDF is hyper linked with over 50 items. The pfd contains links to:

  • 8 Printable Student Handout with QR code for video instruction

  • 8 Printable Daily Assessment: Mid-Lesson Assessment to check for understanding and/or differentiated flexible groupings

  • 8 Instructional Video Link: Includes Teacher Model and Guided Practice.

  • Google Slide Decks for each lesson

  • Teacher Notes and Answer Key for each lesson

  • Formative Link: e-Copy of the Student Materials on GoFormative.

Also provided is a complete unit overview, a PreTest, PostTest, 4 Quizzes and Student Reflections for each assessment. Answer Keys also added on GoFormative for instant data and student feedback. 30 Day free trial of GoFormative.

CCSS8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

CCSS8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

CCSS8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.

CCSS8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?