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6.8: Assessments

  • Page ID
    58310
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    Learning Objectives

    1. Compute and interpret measures of central tendency (mean, median, mode) and dispersion (range, variance, standard deviation, IQR).

    2. Describe probability distributions: normal, binomial, Poisson, and uniform, and identify appropriate applications.

    3. Explain the Central Limit Theorem and its significance for statistical inference.

    4. Construct and interpret confidence intervals for population parameters.

    5. Conduct hypothesis tests, interpret p-values, and distinguish between Type I and Type II errors.

    6. Differentiate between correlation and causation and apply appropriate reasoning.


    This page titled 6.8: Assessments was last modified on Thu, 28 May 2026 17:43:47 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Felix Amoruwa.

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