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Carnegie Foundation for the Advancement of Teaching
Package: Statway Modules 1-6 + Statway Modules 7-12
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Statway is a coherent, accelerated alternative mathematics pathway that successfully takes students developmental math students through college-level mathematics in a single year. Statway is focused on statistics, data analysis, and causal reasoning, combining college-level statistics with developmental math. It is designed to teach mathematics skills that are essential for a growing number of occupations and are needed for decision-making under conditions of uncertainty. Statway engages students through collaborative based learning, and presents relevant and useful mathematics concepts that students can use in their daily lives. It is taught using common curricula, assessments, and online platform, and innovative instructional approaches.
About the Network
These materials are a part of STATWAY®, A Pathway Through College Statistics, which is a product of a Carnegie Networked Improvement Community that seeks to advance student success. The original version of this work, version 1.0, was created by The Charles A. Dana Center at The University of Texas at Austin under sponsorship of the Carnegie Foundation for the Advancement of Teaching. This version and all subsequent versions, result from the continuous improvement efforts of the Carnegie Networked Improvement Community. The network brings together community college faculty and staff, designers, researchers and developers. It is a research and development community that seeks to harvest the wisdom of its diverse participants through systematic and disciplined inquiry to improve developmental mathematics instruction.
For more information on the Statway® Networked Improvement Community, please visit http://www.carnegiefoundation.org/in-action/pathways-improvement-communities/
Table of Contents
Module 1: The Statistical Analysis Process
Module 2: Distributions of Quantitative Data
Module 3: Introduction to Scatterplots and Bivariate Relationships
Module 4: Investigating Patterns in Data
Module 5: An Introduction to Two-Way Tables
Module 6: Law of Large Numbers
Module 7: Sampling Distributions
Module 8: Sampling Distribution of Differences in Two Proportions
Module 9: Sampling Distributions of Sample Means
Module 10: Introduction to the Chi-Square Test Statistic
Module 11: Statistical Models and Mathematical Functions