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LinkedIn Learning

Statistics Foundations: 3

via LinkedIn Learning

Overview

Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.

Syllabus

Introduction
  • The power of advanced statistics
1. Comparing Two Populations: Proportions
  • Explanation of two population comparisons
  • Two population: Confidence interval example
  • Two population: Hypothesis test example
2. Comparing Two Populations: Means
  • Explanation of two population mean comparisons
  • Visualization: Re-randomizing
  • Two population means: Confidence interval example
  • Two population means: Hypothesis test example
3. T-Tests
  • T-distribution vs. z-distribution
  • T-score tables and degrees of freedom
  • Use T-scores to develop confidence intervals
4. ANOVA: Analysis of Variance
  • ANOVA: What is analysis of variance?
  • One-way ANOVA and the sum of squares total (SST)
  • Sum of squares within (SSW) and sum of squares between (SSB)
  • F-statistic and ANOVA hypothesis test example
5. Regression Analysis
  • What is regression?
  • Regression best fit line
  • Coefficient of determination (R-squared)
  • The correlation coefficient
Continuing Your Advanced Statistics Learning Journey
  • Next steps and additional resources

Taught by

Eddie Davila

Reviews

4.6 rating at LinkedIn Learning based on 716 ratings

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