Grade 7 Math:Statistics & Probability:L1:Measures ofCentralTendency 7.SP.A.2&B.3
- Zip
Also included in
- Ready for the Bell math lessons provide a comprehensive set of print, multimedia resources, and assessments with context and real world learning explorations.This unit bundle includes all 9 complete Fractions and Percents lesson packets plus Unit Assessment tests and answer keys. This bundle includePrice $22.27Original Price $24.75Save $2.48
- Ready for the Bell math lessons provide a comprehensive set of print, multimedia resources, assessments and real world learning explorations.The lessons' instructional design recognizes a new generation of learners, ones that expect multi-media, multi-modal learning opportunities and have the abilitPrice $182.65Original Price $202.95Save $20.30
Description
Ready for the Bell Grade 7 math lessons provide a comprehensive set of print, multimedia resources, and assessments with real world learning explorations.
The lesson instructional design recognizes a new generation of learners, ones that expect multi-media, multi-modal learning opportunities and have the ability to access, research, and master knowledge creation opportunities whether they are at school or at home. At the same time as providing current and multi-modal instructional methods and resources, the lesson provides options for teaching with or without technology in the classroom..
This lesson packet includes:
-Student Learning Guide: 6 pages
-Student Workbook: 4 pages
-Answer Key for Workbook: 3 pages
- Unit Test(s) – full unit tests are only included in the Unit or Full Course Bundle.
Common Core Alignment
CCSS.MATH.CONTENT.7.SP.A.2
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
CCSS.MATH.CONTENT.7.SP.B.3
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.