Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures
4.0
(0)
7 learners
What you'll learn
This course includes
- 15.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 105 lessons • 15.3 hours of video
Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures
105 lessons
• 15.3 hours
Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures
105 lessons
• 15.3 hours
- Statistics Course Overview | Best Statistics Course | MarinStatsLectures 14:07
- Statistics Video Tutorials at a Glance | Best Statistics Tutorials | MarinStatsLectures 02:05
- Statistics Terminology and Definitions| Statistics Tutorial | MarinStatsLectures 09:48
- Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures 07:36
- Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures 07:34
- Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures 08:05
- Describing Distributions: Center, Spread & Shape | Statistics Tutorial | MarinStatsLectures 07:54
- Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures 10:41
- Standard Deviation & Degrees of Freedom Explained | Statistics Tutorial | MarinStatsLectures 11:08
- Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures 09:10
- Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures 09:26
- Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures 05:57
- Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures 07:56
- Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures 05:25
- Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures 08:16
- Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures 09:32
- t-distribution in Statistics and Probability | Statistics Tutorial #9 | MarinStatsLectures 04:02
- Confidence Interval for Mean with Example | Statistics Tutorial #10 | MarinStatsLectures 13:31
- Margin of Error & Sample Size for Confidence Interval | Statistics Tutorial #11| MarinStatsLectures 09:26
- Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures 17:32
- Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures 16:22
- Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures 08:17
- Hypothesis Test vs. Confidence Interval | Statistics Tutorial #15 | MarinStatsLectures 05:27
- Errors and Power in Hypothesis Testing | Statistics Tutorial #16 | MarinStatsLectures 12:35
- Power Calculations in Hypothesis Testing | Statistics Tutorial #17 | MarinStatsLectures 19:59
- Statistical Inference Definition with Example | Statistics Tutorial #18 | MarinStatsLectures 05:30
- Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures 09:57
- Bivariate Analysis for Categorical & Numerical | Statistics Tutorial #20 | MarinStatsLectures 12:37
- Paired t Test | Statistics Tutorial #21| MarinStatsLectures 14:53
- Wilcoxon Signed Rank Test | Statistics Tutorial #22 | MarinStatsLectures 19:25
- Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures 15:22
- Two Sample t-Test:Equal vs Unequal Variance Assumption| Statistics Tutorial #24| MarinStatsLectures 14:34
- Bootstrap Hypothesis Testing in Statistics with Example |Statistics Tutorial #35 |MarinStatsLectures 16:56
- Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures 09:54
- Permutation Hypothesis Testing with Example | Statistics Tutorial # 37 | MarinStatsLectures 17:19
- One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures 09:06
- ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures 17:54
- ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures 09:31
- ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures 16:55
- Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures 24:26
- Odds Ratio, Relative Risk, Risk Difference | Statistics Tutorial #30| MarinStatsLectures 11:47
- Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures 09:01
- Simple Linear Regression Concept | Statistics Tutorial #32 | MarinStatsLectures 18:33
- Linearity and Nonlinearity in Linear Regression | Statistics Tutorial #33 | MarinStatsLectures 18:03
- R Squared or Coefficient of Determination | Statistics Tutorial | MarinStatsLectures 15:08
- What is RStudio and Why Should You Download It? | R Tutorial 1.1 | MarinStatsLectures 05:21
- Getting started with R: Basic Arithmetic and Coding in R | R Tutorial 1.3 | MarinStatsLectures 07:48
- Create and Work with Vectors and Matrices in R | R Tutorial 1.4 | MarinStatslectures 08:35
- Import Data, Copy Data from Excel to R CSV & TXT Files | R Tutorial 1.5 | MarinStatsLectures 06:59
- Importing/Reading Excel data into R using RStudio (readxl) | R Tutorial 1.5b | MarinStatsLectures 08:12
- Export Data from R (csv , txt and other formats) | R Tutorial 1.6 | MarinStatsLectures 05:04
- Importing , Checking and Working with Data in R | R Tutorial 1.7 | MarinStatsLectures 08:46
- Working with Variables and Data in R | R Tutorial 1.8 | MarinStatslectures 08:10
- Subsetting (Sort/Select) Data in R with Square Brackets | R Tutorial 1.9| MarinStatsLectures 04:39
- Logic Statements (TRUE/FALSE), cbind and rbind Functions in R | R Tutorial 1.10| MarinStatsLectures 04:21
- Setting Up Working Directory in R | R Tutorial 1.11 | MarinStatsLectures 08:25
- Writing Scripts in R | R Tutorial 1.12 | MarinStatsLectures 06:22
- How to Install Packages in R | R Tutorial 1.13 | MarinStatsLectures 06:25
- Customizing The Look of R Studio | R Tutorial 1.14 | MarinStatsLectures 03:54
- Apply Function in R | R Tutorial 1.15 | MarinStatsLectures 06:49
- tApply Function in R | R Tutorial 1.16 | MarinStatsLectures 04:54
- Bar Charts and Pie Charts in R | R Tutorial 2.1 | MarinStatsLectures 04:51
- Boxplots and Grouped Boxplots in R | R Tutorial 2.2 | MarinStatsLectures 04:15
- Box Plots with Two Factors (Stratified Boxplots) in R | R Tutorial 2.3 | MarinStatsLectures 07:32
- Histograms in R | R Tutorial 2.4 | MarinStatsLectures 04:41
- Stem and Leaf Plots in R | R Tutorial 2.5 | MarinStatsLectures 02:23
- Stacked and Grouped Bar Charts and Mosaic Plots in R |R Tutorial 2.6| MarinStatsLectures 03:53
- Scatterplots in R | R Tutorial 2.7 | MarinStatsLectures 04:44
- Calculating Mean, Standard Deviation, Frequencies and More in R | R Tutorial 2.8| MarinStatsLectures 06:50
- How to Modify and Customize Plots in R | R Tutorial 2.9 | MarinStatsLectures 15:16
- Add and Customize Text in Plots with R | R Tutorial 2.10 | MarinStatsLectures 07:58
- Add and Customize Legends to Plots in R | R Tutorial 2.11| MarinStatsLectures 08:28
- Binomial Distribution in R | R Tutorial 3.1| MarinStatsLectures 03:57
- Poisson Distribution in R | R Tutorial 3.2 | MarinStatsLectures 04:02
- Normal Distribution, Z Scores, and Normal Probabilities in R | R Tutorial 3.3| MarinStatslectures 06:44
- t Distribution and t Scores in R | R Tutorial 3.4 | MarinStatsLectures 04:19
- One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures 04:40
- Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures 06:31
- Bootstrap Hypothesis Testing in R with Example | R Video Tutorial 4.4 | MarinStatsLecutres 14:48
- Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures 04:20
- Bootstrap Confidence Interval with R | R Video Tutorial 4.5 | MarinStatsLectures 11:27
- Permutation Hypothesis Test in R with Examples | R Tutorial 4.6 | MarinStatsLectures 14:33
- Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures 04:20
- Wilcoxon Signed Rank Test in R with Example | R Tutorial 4.8 | MarinStatsLectures 03:39
- ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures| 04:37
- Chi-Square Test, Fisher’s Exact Test, & Cross Tabulations in R | R Tutorial 4.10| MarinStatsLectures 03:44
- Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures 06:52
- Correlations and Covariance in R with Example | R Tutorial 4.12 | MarinStatsLectures 06:36
- Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures 05:38
- Checking Linear Regression Assumptions in R | R Tutorial 5.2 | MarinStatsLectures 07:49
- Changing Numeric Variable to Categorical in R | R Tutorial 5.4 | MarinStatsLectures 05:22
- Multiple Linear Regression in R | R Tutorial 5.3 | MarinStatsLectures 05:19
- Dummy Variables or Indicator Variables in R | R Tutorial 5.5 | MarinStatsLectures 06:41
- Change Reference (Baseline) Category in Regression with R | R Tutorial 5.6 | MarinStatsLectures 04:19
- Including Variables/ Factors in Regression with R, Part I | R Tutorial 5.7 | MarinStatsLectures 05:42
- Including Variables/ Factors in Regression with R, Part II | R Tutorial 5.8 | MarinStatsLectures 06:31
- Multiple Linear Regression with Interaction in R | R Tutorial 5.9 | MarinStatsLectures 07:16
- Interpreting Interaction in Linear Regression with R | R Tutorial 5.10 | MarinStatsLectures 06:43
- Partial F-Test for Variable Selection in Linear Regression | R Tutorial 5.11| MarinStatsLectures 09:51
- Polynomial Regression in R | R Tutorial 5.12 | MarinStatsLectures 06:47
- Sensitivity, Specificity, Positive and Negative Predictive Values | MarinStatsLectures 11:40
- What is a Sampling Distribution? | Puppet Master of Statistics 09:15
- What is a Confidence Interval? | Puppet Master of Statistics 05:58
- What is a Hypothesis Test and a P-Value? | Puppet Master of Statistics 07:34
- Valentine's Day Gift for Math/Stats Nerds [MarinStatsLectures] 01:01
Take this course with you
Download the app to continue lessons from your phone anytime.
