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MATH-201: Elements of Statistics and Probability

  • Page ID
    6445
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    Learning Objectives
    • Design and implement an unbiased study that will produce sound statistical results.
    • Generate and interpret statistics and graphs from data that arise from surveys and experiments.
    • Implement the rules of probability.
    • Apply confidence intervals and test hypotheses to make conclusions about data that come from practical applications.
    • Perform regression analysis to make informed predictions about relationships between quantitative variables.

    The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.


    MATH-201: Elements of Statistics and Probability is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.