Eureka Math, A Story of Ratios: Grade 7, Module 5: Statistics and Probability
By Jossey-Bass; 1 edition
Published date: 21-04-2014
Price: $ 547.00
Common Core Eureka Math for Grade 7, Module 5 Created by teachers, for teachers, the research-based curriculum in this series presents a comprehensive, coherent sequence of thematic units for teaching the skills outlined in the CCSS for Mathematics. With four-color illustrations, complete lesson plans, and reproducible student worksheets and assessments, this resource is uniquely designed to support teachers in developing content-rich, integrated learning experiences that adhere to established standards and encourage student engagement. Developed by Common Core, a non-profit advocacy group ded
Eureka Math, A Story of Ratios: Grade 7, Module 5: Statistics and Probability is a educational Book By Common Core.It helps students in grades 7 practice the following standards 7.SP.1, 7.SP.2, 7.SP.3.
This page not only allows students and teachers This page not only allows students and teachers to get information about the book but also find engaging Sample Questions, Videos, Pins, Worksheets, Apps related to the following topics.
1. 7.SP.1 : Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences..
2. 7.SP.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..
3. 7.SP.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..