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LinkedIn Learning

Statistics Foundations: 3

via LinkedIn Learning

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
Complete your mastery of statistics. Get a more advanced understanding of concepts such as t-distribution, degrees of freedom, chi-square testing, regression testing, and ANOVA.

Syllabus

Introduction
  • Welcome
Parts 1 and 2
  • Recap of Statistics Fundamentals
  • Part 3
    • What lies ahead in Statistics Fundamentals
    2. Small Sample Sizes
    • T-statistic vs. z-statistic
    • T-score tables and degrees of freedom
    • Calculating confidence intervals using t-scores
    3. Comparing Two Populations (Proportions)
    • Explanation of two populations
    • Set up a comparison
    • Hypothesis testing
    4. Comparing Two Populations (Means)
    • Basics of comparing two population means
    • Visualization (re-randomizing)
    • Set up a confidence interval
    • Hypothesis testing
    5. Chi-Square
    • Introduction to chi-square
    • Curves and distribution
    • Goodness-of-fit test
    6. ANOVA: Analysis of Variance
    • What is analysis of variance?
    • One-way ANOVA and the total sum of squares (SST)
    • Variance within and variance between (SSW and SSB)
    • Hypothesis test and f-statistic
    7. Introduction to Regression
    • What is regression?
    • The best-fitting line
    • The coefficient of determination
    • The correlation coefficient
    Conclusion
    • Next steps

Taught by

Eddie Davila

Reviews

4.7 rating at LinkedIn Learning based on 662 ratings

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