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1
Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures
2
Boxplots and Grouped Boxplots in R | R Tutorial 2.2 | MarinStatsLectures
3
Box Plots with Two Factors (Stratified Boxplots) in R | R Tutorial 2.3 | MarinStatsLectures
4
Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures
5
Histograms in R | R Tutorial 2.4 | MarinStatsLectures
6
Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures
7
Bar Charts and Pie Charts in R | R Tutorial 2.1 | MarinStatsLectures
8
Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures
9
Standard Deviation & Degrees of Freedom Explained | Statistics Tutorial | MarinStatsLectures
10
Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures
11
Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures
12
Binomial Distribution in R | R Tutorial 3.1| MarinStatsLectures
13
Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures
14
Normal Distribution, Z Scores, and Normal Probabilities in R | R Tutorial 3.3| MarinStatslectures
15
Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures
16
Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures
17
Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures
18
Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures
19
Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures
20
t-distribution in Statistics and Probability | Statistics Tutorial #9 | MarinStatsLectures
21
t Distribution and t Scores in R | R Tutorial 3.4 | MarinStatsLectures
22
Confidence Interval for Mean with Example | Statistics Tutorial #10 | MarinStatsLectures
23
Margin of Error & Sample Size for Confidence Interval | Statistics Tutorial #11| MarinStatsLectures
24
Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures
25
Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures
26
Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures
27
One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures
28
Hypothesis Test vs. Confidence Interval | Statistics Tutorial #15 | MarinStatsLectures
29
Errors and Power in Hypothesis Testing | Statistics Tutorial #16 | MarinStatsLectures
30
Power Calculations in Hypothesis Testing | Statistics Tutorial #17 | MarinStatsLectures
31
Statistical Inference Definition with Example | Statistics Tutorial #18 | MarinStatsLectures
32
Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures
33
Bivariate Analysis for Categorical & Numerical | Statistics Tutorial #20 | MarinStatsLectures
34
Paired t Test | Statistics Tutorial #21| MarinStatsLectures
35
Wilcoxon Signed Rank Test | Statistics Tutorial #22 | MarinStatsLectures
36
Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures
37
Wilcoxon Signed Rank Test in R with Example | R Tutorial 4.8 | MarinStatsLectures
38
Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures
39
Two Sample t-Test:Equal vs Unequal Variance Assumption| Statistics Tutorial #24| MarinStatsLectures
40
Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures
41
Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures
42
Bootstrap Hypothesis Testing in Statistics with Example |Statistics Tutorial #35 |MarinStatsLectures
43
Bootstrap Hypothesis Testing in R with Example | R Video Tutorial 4.4 | MarinStatsLecutres
44
Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures
45
Bootstrap Confidence Interval with R | R Video Tutorial 4.5 | MarinStatsLectures
46
Permutation Hypothesis Testing with Example | Statistics Tutorial # 37 | MarinStatsLectures
47
Permutation Hypothesis Test in R with Examples | R Tutorial 4.6 | MarinStatsLectures
48
One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures
49
ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures
50
ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures
51
ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures
52
ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures|
53
Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures
54
Chi-Square Test, Fisher’s Exact Test, & Cross Tabulations in R | R Tutorial 4.10| MarinStatsLectures
55
Odds Ratio, Relative Risk, Risk Difference | Statistics Tutorial #30| MarinStatsLectures
56
Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures
57
Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures
58
Simple Linear Regression Concept | Statistics Tutorial #32 | MarinStatsLectures
59
Polynomial Regression in R | R Tutorial 5.12 | MarinStatsLectures
60
Correlations and Covariance in R with Example | R Tutorial 4.12 | MarinStatsLectures
61
Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures
62
Linearity and Nonlinearity in Linear Regression | Statistics Tutorial #33 | MarinStatsLectures
Description:
Embark on a comprehensive 10-hour video series exploring statistics using the R programming language. Learn fundamental statistical concepts followed by practical implementation in R. Cover topics from introductory to intermediate statistics, including boxplots, histograms, probability distributions, hypothesis testing, ANOVA, and regression analysis. Follow along with step-by-step tutorials, downloadable datasets, and R scripts for hands-on practice. Gain a solid foundation in statistical theory and its application using R, suitable for students, researchers, and data enthusiasts looking to enhance their analytical skills.

Statistics with R Programming Language - Step by Step

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#Mathematics #Statistics & Probability #Data Science #Data Analysis #Programming #Domain-Specific Languages (DSL) #R Programming #Hypothesis Testing #Data Visualization #Histograms #ANOVA
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Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures