Statistics with R - Intermediate Level

Unlock Powerful Statistical Analysis with R

Are you ready to master essential statistical analyses using the R programming language? This course provides a comprehensive, step-by-step guide to performing a wide range of statistical tests, eliminating the need to search endlessly for solutions.

Here's what you'll learn:

• Association Tests in R: Gain proficiency in both parametric and non-parametric association tests. You'll learn to execute and interpret:

  • Pearson Correlation: Understand and apply Pearson correlation for linear relationships.
  • Spearman & Kendall Correlation: Explore non-parametric correlation methods for ordinal data.
  • Partial Correlation: Control for confounding variables in correlation analysis.
  • Chi-Square Test for Independence: Determine if two categorical variables are independent.

• Mean Difference Tests: Develop expertise in comparing means, a cornerstone of statistical analysis. We'll cover:

  • T-Tests: Master independent and paired t-tests for comparing means.
  • Analysis of Variance (ANOVA): Learn univariate and multivariate ANOVA techniques to analyze differences between multiple groups.
  • Non-Parametric Tests: Explore alternative tests when assumptions of parametric tests are not met.

• Multiple Linear Regression: Dive deep into multiple linear regression, a fundamental technique for predicting outcomes. You'll learn:

  • Regression Assumptions: How to check and address assumptions of linear regression.
  • Sequential (Hierarchical) Regression: Build models step-by-step to identify the most important predictors.

• Statistical Reliability: Assess the reliability of your data using key indicators:

  • Cronbach's Alpha: Calculate Cronbach's alpha to evaluate internal consistency of scales.
  • Learn to compute other important reliability measures in R.

This course provides clear, visual explanations and practical guidance for each technique. We'll cover preliminary assumptions, the execution of procedures, and careful interpretation of results.

By the end of this course, you'll possess invaluable statistical analysis knowledge and skills using R – empowering you to make data-driven decisions. Enroll today and embark on an exciting journey into the world of statistical analysis!