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  • Courseware 
    Statistics 250 - Introduction to Statistics and Data Analysis

    Statistics 250 - Introduction to Statistics and Data Analysis

    Statistics is the science that turns data into information and information into knowledge. This class covers applied statistical methodology from an analysis-of-data viewpoint. Topics covered include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis is also explored.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Statistics
    Resource Type:
    Courseware
     
  • Courseware 
    Statistics for Brain and Cognitive Science

    Statistics for Brain and Cognitive Science

    Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics organized around three key theories: Probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central Limit Theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.

    Subjects:
    Mathematics and Statistics and Biology
    Keywords:
    Statistics Cognitive science
    Resource Type:
    Courseware