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LinkedIn Learning
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Description
Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.
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Syllabus
Introduction
- The power of advanced statistics
- Explanation of two population comparisons
- Two population: Confidence interval example
- Two population: Hypothesis test example
- Explanation of two population mean comparisons
- Visualization: Re-randomizing
- Two population means: Confidence interval example
- Two population means: Hypothesis test example
- T-distribution vs. z-distribution
- T-score tables and degrees of freedom
- Use T-scores to develop confidence intervals
- 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
- What is regression?
- Regression best fit line
- Coefficient of determination (R-squared)
- The correlation coefficient
- Next steps and additional resources
Statistics Foundations: Advanced Topics
Affiliate notice
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TypeOnline Courses
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ProviderLinkedIn Learning
Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.
Introduction
- The power of advanced statistics
- Explanation of two population comparisons
- Two population: Confidence interval example
- Two population: Hypothesis test example
- Explanation of two population mean comparisons
- Visualization: Re-randomizing
- Two population means: Confidence interval example
- Two population means: Hypothesis test example
- T-distribution vs. z-distribution
- T-score tables and degrees of freedom
- Use T-scores to develop confidence intervals
- 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
- What is regression?
- Regression best fit line
- Coefficient of determination (R-squared)
- The correlation coefficient
- Next steps and additional resources
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