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Statistics & Data Analysis Course: Master Hypothesis Testing & Regression

Master Statistics from Basics to Advanced Inference with Clear Video Tutorials

5.0 (26)

179 learners

What you'll learn

Define core statistical terms and distinguish between study designs and variable types
Create and interpret common data visualizations for single and multiple variables
Calculate and interpret descriptive statistics to summarize the center, spread, and shape of data
Perform and interpret fundamental inferential analyses including confidence intervals and hypothesis tests

This course includes

9.5 hours of video
Certificate of completion
Access on mobile and TV

Course content

1 modules • 51 lessons • 9.5 hours of video

Statistics & Data Analysis Course: Master Hypothesis Testing & Regression

51 lessons • 9.5 hours

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Statistics Course Overview | Best Statistics Course | MarinStatsLectures14:06
Statistics Video Tutorials at a Glance | Best Statistics Tutorials | MarinStatsLectures02:05
Statistics Terminology and Definitions| Statistics Tutorial | MarinStatsLectures09:48
Study Designs (Cross-sectional, Case-control, Cohort) | Statistics Tutorial | MarinStatsLectures11:51
Variables and Types of Variables | Statistics Tutorial | MarinStatsLectures13:12
Bar Chart, Pie Chart, Frequency Tables | Statistics Tutorial | MarinStatsLectures07:35
Histograms and Density Plots for Numeric Variables | Statistics Tutorial | MarinStatsLectures07:34
Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures08:05
Plots for Two Variables | Statistics Tutorial | MarinStatsLectures09:00
Describing Distributions: Center, Spread & Shape | Statistics Tutorial | MarinStatsLectures07:54
Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures10:40
Percentiles, Quantiles and Quartiles in Statistics | Statistics Tutorial | MarinStatsLectures07:29
Standard Deviation & Degrees of Freedom Explained | Statistics Tutorial | MarinStatsLectures11:07
Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures09:10
Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures09:26
Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures05:57
Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures07:55
Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures05:25
Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures08:15
Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures09:32
t-distribution in Statistics and Probability | Statistics Tutorial #9 | MarinStatsLectures04:02
Confidence Interval for Mean with Example | Statistics Tutorial #10 | MarinStatsLectures13:31
Margin of Error & Sample Size for Confidence Interval | Statistics Tutorial #11| MarinStatsLectures09:25
Bootstrapping and Resampling in Statistics with Example| Statistics Tutorial #12 |MarinStatsLectures17:32
Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures16:22
Hypothesis Testing: One Sided vs Two Sided Alternative | Statistics Tutorial #14 |MarinStatsLectures08:16
Hypothesis Test vs. Confidence Interval | Statistics Tutorial #15 | MarinStatsLectures05:26
Errors and Power in Hypothesis Testing | Statistics Tutorial #16 | MarinStatsLectures12:34
Power Calculations in Hypothesis Testing | Statistics Tutorial #17 | MarinStatsLectures19:58
Statistical Inference Definition with Example | Statistics Tutorial #18 | MarinStatsLectures05:29
Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures09:57
Bivariate Analysis for Categorical & Numerical | Statistics Tutorial #20 | MarinStatsLectures12:37
Paired t Test | Statistics Tutorial #21| MarinStatsLectures14:52
Wilcoxon Signed Rank Test | Statistics Tutorial #22 | MarinStatsLectures19:24
Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures15:22
Two Sample t-Test:Equal vs Unequal Variance Assumption| Statistics Tutorial #24| MarinStatsLectures14:34
Bootstrap Hypothesis Testing in Statistics with Example |Statistics Tutorial #35 |MarinStatsLectures16:56
Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures09:54
Permutation Hypothesis Testing with Example | Statistics Tutorial # 37 | MarinStatsLectures17:19
One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures09:06
ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures17:54
ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures09:30
ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures16:55
Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures24:26
Odds Ratio, Relative Risk, Risk Difference | Statistics Tutorial #30| MarinStatsLectures11:46
Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures09:01
Simple Linear Regression Concept | Statistics Tutorial #32 | MarinStatsLectures18:33
Linearity and Nonlinearity in Linear Regression | Statistics Tutorial #33 | MarinStatsLectures18:02
R Squared or Coefficient of Determination | Statistics Tutorial | MarinStatsLectures15:08
Measures of Spread & Variability: Range, Variance, SD, etc| Statistics Tutorial | MarinStatsLectures11:32
The Monty Hall Problem in Statistics | Statistics Tutorial | MarinStatsLectures06:41

Statistics

Data Analysis

Hypothesis Testing

Regression

Descriptive Statistics

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