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Statistics Foundations: 3

via LinkedIn Learning

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Overview

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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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