STAT 1910

Introduction to Statistics

Lec 01 selected

This course introduces students to statistical reasoning and data analysis using R. Emphasizing modern computational approaches, students will learn to summarize and visualize data, apply inferential techniques (e.g., confidence intervals, hypothesis tests, and ANOVA), and model relationships (e.g., regression). Core statistical concepts, including randomization tests, boot- strapping, and the Central Limit Theorem, will be explored through theoretical and applied perspectives. Designed for students with a strong foundation in grade 12 mathematics, this course focuses on interpreting results, making data-driven decisions, and preparing for advanced studies in statistics. Three lecture hours plus a 1.5 hour lab per week

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