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    Statistics Foundations 4: Advanced Topics [Repost]

    Posted By: IrGens
    Statistics Foundations 4: Advanced Topics [Repost]

    Statistics Foundations 4: Advanced Topics
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 30m | 1.25 GB
    Instructor: Eddie Davila

    Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. If you're in one of these specialized fields, chances are you need an advanced understanding of statistics. Complete your mastery in this course, part four in our Statistics Foundations series.

    Eddie Davila covers concepts such as small sample sizes, t-distribution, degrees of freedom, and more. This advanced skills training moves learners into the practical study and application of experimental design, analysis of variance (ANOVA), two-population comparisons, and regression analysis. Use these lessons to go beyond the basics and dive deeper into the specific factors that influence your own calculations and results.

    Learning objectives

    • Analyze statistical hypotheses in comparative studies.
    • Interpret experimental consistency through statistical tests.
    • Calculate the significance of extreme values in hypothesis testing.
    • Assess the implications of variance analysis in service quality studies.
    • Illustrate the implications of slope coefficients in linear regression models.
    • Evaluate the utility of the R-squared measure in explaining variance in regression models.


    Statistics Foundations 4: Advanced Topics [Repost]