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# Exploring Common Core Topics in Statistics with TI-Nspire™ Technology

Statistics educators who need support transitioning to Common Core State Standards (CCSS) for Mathematics will learn how to use TI-Nspire™ technology in this workshop.

Use lessons to explore how to increase student understanding of sampling distributions and conditional probability, the normal curve family, and the empirical rule. Create graphs of bivariate data, and learn how to help students identify and use residuals to better understand bivariate relationships. By the end of the workshop, you’ll be able to use TI-Nspire™ technology to deepen student understanding of key Common Core concepts in high school statistics.

## Overview

This in-person workshop is available in one- and two-day options to accommodate educator-specific needs. A half-day workshop option is also available. The two-day workshop offers a more extensive exploration of topics. A virtual workshop is also available in multiple two- or three-hour sessions.

 Coverage of key CCSS domains in statistics, including interpreting categorical and quantitative data. Exploration of dynamic, interactive content. Introduction to Common Core Math Practices. Overview of essential technology skills, including tools to aid students in making inferences and justifying conclusions. Broader statistics coverage, with opportunities for differentiation based on teacher needs. Deeper discussion of CCSS Math Practices. Introduction to TI-Nspire™ Teacher Software. Additional exploration of features and resources for statistics, with coverage extended to conditional probability.

## Areas of Focus

This workshop addresses CCSS content standards in high school statistics, with a focus on building pedagogical skills for leading discussions, asking students to explain their reasoning, and engaging them in CCSS Math Practices with TI-Nspire™ technology.

 Subject Topics Interpreting Univariate Data Represent data with dot plots; compare center and spread of data sets; use the mean and standard deviation to fit a data set into a normal distribution Interpreting Bivariate Data Represent bivariate data on a scatter plot, describe the relationship, and interpret the slope and intercept of a linear model in the context of the data Conditional Probability Use independence and conditional probability to interpret data; use the rules of probability to compute probabilities of compound events Making Inferences & Decisions Understand and evaluate random processes underlying statistical experiments

## Request information

Need a quote or a sample plan? Get started by contacting a TI Educational Technology Consultant to help you with your professional development needs.

• Half day:      $2,000 • One day:$3,200