This resource was reviewed using the Curriki Review rubric and received an overall Curriki Review System rating of 2.40, as of 2017-08-15.
Standards Alignment: 3
Subject Matter: 3
Support Steaching: 1
Assessments Quality: 3
Instructional Quality: 2
Subject Matter: A variety of resources are provided to address the subject matter. Videos and EngageNY materials are the primary resources.
Support Steaching: Although great resources related to statistics are included,teachers will need to plan how and when to use each resources with students.
Instructional Quality: The resources included are well written and contain answer keys.
January 10, 2018
Thanks for making my life easier! Just the resource I needed to support my teaching this week :-))
Information - Unit 3 - Descriptive Statistics
Includes Standard Clusters:• Summarize, represent, and interpret data on a single count or measurement variable.• Summarize, represent, and interpret data on two categorical and quantitative variables.• Interpret linear models.
• Summarize, represent, and interpret data on a single count or measurement variable. • Summarize, represent, and interpret data on two categorical and quantitative variables. • Interpret linear models.
In grades 6 – 8, students describe center and spread in a data distribution. Here they choose a summary statistic appropriate to the characteristics of the data distribution, such as the shape of the distribution or the existence of extreme data points.
Students take a more sophisticated look at using a linear function to model the relationship between two numerical variables. In addition to how well the model fits by analyzing residuals. S.ID.6b should be focused on linear models, but may be used to previewquadratic functions in Unit 5 of thiscourse.
Build on students’ work with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a causeand-effect relationship arises in S.ID.9.