STAT 101
Data Analysis and Statistical Inference
Summer Session 2 2006
 

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    In this course, we learn about the principles of data analysis using statistics, with primary emphases on developing critical thinking skills and performing analyses on real data sets.  After completing this course, students will able to design and analyze basic statistical studies, to understand and criticize statistical methods in journals and the media, and to appreciate the
    power and utility of statistical thinking.

    The course will cover the following topics:

    • Experimental design
    • Exploratory data analysis
    • Correlation and linear regression
    • Laws of probability
    • Sampling
    • Confidence intervals and significance tests
    • Bayesian perspective in statistical inference

    Important Dates

    • July 13:      Mid term exam I
    • July 24:      Final project proposal due
    • July 31:      Mid term exam 2
    • August 8:   Final project presentation
    • August 11: Final exam