Introduction to Statistics 2

Introduction to Statistics 2 358a 2 Credits
Introduction to Statistics 2 Honors 358b 2 Credits

PREREQUISITE: A MINIMUM OF C- IN INTRODUCTION TO STATISTICS 1

The topics in this course will build upon the concepts in Introduction to Statistics I. This course will focus on developing a deeper understanding of sample variation and the question of what can be inferred about a population from a sample. Inferences about proportions and means are explored through polling theory, investigation of racial and gender profiling, and scientific measurement. Related topics include sampling protocols and bias, Central Limit Theorem, confidence levels and intervals and margin of error. The course extends these ideas and techniques to comparison of groups and populations based on samples. Permutation and Bootstrap methods are used to understand comparison of groups on quantitative and categorical variables and extended to theoretical models using the Chi Squared statistic. This course continues to challenge students to analyze real data and confront the assumptions, power and limits of statistical analysis. The course makes extensive use of Fathom data analysis software. Students analyze data, prepare reports and make presentations of their findings throughout the course. 

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