This course on Statistics with R Programming Language covers popular statistical topics and demonstrates how to implement them using R software. The learning outcomes include understanding statistical concepts and gaining hands-on experience with R scripts and datasets. The course teaches skills such as creating boxplots, histograms, calculating mean and standard deviation, working with distributions, hypothesis testing, and conducting ANOVA. The teaching method involves step-by-step tutorials that first explain the statistical concept and then demonstrate its implementation in R. This course is intended for individuals interested in learning statistics and R programming, particularly suitable for beginners and intermediate learners in statistics and data analysis.
Overview
Syllabus
Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures.
Boxplots and Grouped Boxplots in R | R Tutorial 2.2 | MarinStatsLectures.
Box Plots with Two Factors (Stratified Boxplots) in R | R Tutorial 2.3 | MarinStatsLectures.
Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures.
Histograms in R | R Tutorial 2.4 | MarinStatsLectures.
Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures.
Bar Charts and Pie Charts in R | R Tutorial 2.1 | MarinStatsLectures.
Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures.
Standard Deviation & Degrees of Freedom Explained | Statistics Tutorial | MarinStatsLectures.
Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures.
Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures.
Binomial Distribution in R | R Tutorial 3.1| MarinStatsLectures.
Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures.
Normal Distribution, Z Scores, and Normal Probabilities in R | R Tutorial 3.3| MarinStatslectures.
Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures.
Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures.
Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures.
Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures.
Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures.
t-distribution in Statistics and Probability | Statistics Tutorial #9 | MarinStatsLectures.
t Distribution and t Scores in R | R Tutorial 3.4 | MarinStatsLectures.
Confidence Interval for Mean with Example | Statistics Tutorial #10 | MarinStatsLectures.
Margin of Error & Sample Size for Confidence Interval | Statistics Tutorial #11| MarinStatsLectures.
Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures.
Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures.
Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures.
One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures.
Hypothesis Test vs. Confidence Interval | Statistics Tutorial #15 | MarinStatsLectures.
Errors and Power in Hypothesis Testing | Statistics Tutorial #16 | MarinStatsLectures.
Power Calculations in Hypothesis Testing | Statistics Tutorial #17 | MarinStatsLectures.
Statistical Inference Definition with Example | Statistics Tutorial #18 | MarinStatsLectures.
Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures.
Bivariate Analysis for Categorical & Numerical | Statistics Tutorial #20 | MarinStatsLectures.
Paired t Test | Statistics Tutorial #21| MarinStatsLectures.
Wilcoxon Signed Rank Test | Statistics Tutorial #22 | MarinStatsLectures.
Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures.
Wilcoxon Signed Rank Test in R with Example | R Tutorial 4.8 | MarinStatsLectures.
Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures.
Two Sample t-Test:Equal vs Unequal Variance Assumption| Statistics Tutorial #24| MarinStatsLectures.
Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures.
Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures.
Bootstrap Hypothesis Testing in Statistics with Example |Statistics Tutorial #35 |MarinStatsLectures.
Bootstrap Hypothesis Testing in R with Example | R Video Tutorial 4.4 | MarinStatsLecutres.
Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures.
Bootstrap Confidence Interval with R | R Video Tutorial 4.5 | MarinStatsLectures.
Permutation Hypothesis Testing with Example | Statistics Tutorial # 37 | MarinStatsLectures.
Permutation Hypothesis Test in R with Examples | R Tutorial 4.6 | MarinStatsLectures.
One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures.
ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures.
ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures.
ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures.
ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures|.
Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures.
Chi-Square Test, Fisher’s Exact Test, & Cross Tabulations in R | R Tutorial 4.10| MarinStatsLectures.
Odds Ratio, Relative Risk, Risk Difference | Statistics Tutorial #30| MarinStatsLectures.
Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures.
Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures.
Simple Linear Regression Concept | Statistics Tutorial #32 | MarinStatsLectures.
Polynomial Regression in R | R Tutorial 5.12 | MarinStatsLectures.
Correlations and Covariance in R with Example | R Tutorial 4.12 | MarinStatsLectures.
Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures.
Linearity and Nonlinearity in Linear Regression | Statistics Tutorial #33 | MarinStatsLectures.
Taught by
MarinStatsLectures-R Programming & Statistics
