Publisher's Synopsis
MyStatLab for Statistical Reasoning is part of the series of MyMathLab/MyStatLab courses built to support the New Mathways Project developed by the Charles A. Dana Center. The New Mathways Project embodies the Dana Center's vision for a systemic approach to improving student success and completion through implementation of processes, strategies, and structures built around three mathematics pathways and a supporting student success course.MyStatLab for Statistical Reasoning is the college-level course in the Statistics pathway for non-STEM students, designed with an active-learning approach that connects statistical concepts to hands-on and discovery-based activities for students. The MyStatLab course designed for use with Statistical Reasoning provides: Interactive content to help prepare students for active classroom time In-Class Interactive Lessons to support students through an active classroom experience, accompanied by notebook PDFs. Homework assignments designed to assess conceptual understanding of important skills and concepts. Additional resources for instructors to help facilitate an interactive and engaging classroom Built in MyStatLab Content developed by the Charles A. Dana Center at The University of Texas at Austin will be delivered through MyStatLab. MyStatLab is an online homework, tutorial, and assessment program that engages students and improves results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. KEY TOPICS: Introduction to Statistics, Sampling, Experiments, Univariate Data Displays and Measures of Center, Variability, Scatterplots and Correlation, Lines of Best Fit, Least Squares Regression Line, Bivariate Categorical Data, Probability, Probability Distributions, The Normal Distribution, Sampling Variability, Estimating a Population Proportion, Confidence Intervals for a Population Proportion, Hypothesis Testing About a Population Proportion, Sampling Distribution of a Sample Mean, Inference About a Population Mean, Comparing Two Populations, Analysis of Categorical Data: Chi-Square Goodness of Fit (Optional), Analysis of Categorical Data: Chi-Square Tests for Two-Way Tables (Optional), Inference for Regression (Optional), One-Way Analysis of Variance (Optional) MARKET: For all readers interested in statistics.
