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QUANTitative Analysis & Statistics

This is a "starting point" guide for those taking a statistics and [quantitative] data analysis courses and/or doing a data analysis project.
On this page:
  • Courses: These videos are organized in a progression that will cover all the topics you need.
  • Explainer Videos:These videos are not well-organized, but have good content you might prefer.

Courses

These are well-organized collections of videos that cover the entire scope of an introductory class (and sometimes more). They can be watched in order, or not.

See the tabs for a list of topics covered with direct links.

Multiple Playlists
  • Research by Design - If you do best with a moderately paced presentation that starts from the beginning (up to bivariate analyses), especially if you want to follow along with a course or use SPSS. Particularly good for fundamental conceptual understanding or anybody liking puppies. Has accompanying videos for SPSS, and a few for JASP. Videos are usually 5-15 min.
  • U Amsterdam - If you want something that gets to the point faster but has more equations as a way of understanding intuitively (but which are read aloud for accessibility, making them seem more complicated than they are). Also includes practical skills for everything from the basics to multivariate analyses. No software or software output. Videos are usually 5-8 min.
  • Brandon Foltz Statistics 101 - If you like a traditional, slow, and encouraging professor who gives multiple examples to ensure thorough understanding as well as practice problems. Covers to General Linear Models. Also has pdf video companions available on his website for a moderate cost. Some videos use Excel, others show output from various software to encourage generalization.Videos are usually 15-30 min.
A Series of Videos
  • Against All Odds - If you do better with a slow presentation on how concepts relate to real life situations, or like accompanying lengthy written materials with a full recap, review questions, and exercises. Up to bivariate analyses. (32 videos, usually 6-14 min)
  • Crash Course Statistics - If you do better with a faster and modern presentation up to simple regression and do not need to follow along with a class (44 videos, usually 10-15 min)

Research By Design 

by Dr. Todd Daniel

 

Playlists

Video counts include those showing how to do things in SPSS or JASP.

Flipped Classroom
  1. Numbers and Variables (9)
  2. Statistics Software (7)
  3. Frequency (10)
  4. Statistical Graphing (15)
  5. Measures of Central Tendency (Mean, Median, Mode) (10)
  6. Measures of Variability (11)
  7. Sampling, Probability, & Inference (10)
  8. Statistical Hypothesis Testing (NHST) (12)
  9. Using z Scores and the z Test in Statistics (9)
  10. One Sample t Tests (9)
  11. Independent Sample t Tests and Paired t Tests (11)
  12. One-Way ANOVA (8)
  13. Correlation (9)
  14. Linear Regression (7)
  15. Chi-Square & Non-Parametric Alternatives (10)
Basic Business Statistics (QBA 237)
  1. From Numbers to Variables to Data (5)
  2. Forming Variables for Statistics & Statistical Software (4)
  3. Describing Data with Descriptive Statistics (15)
  4. Data Visualization for Variables (12)
  5. Central Tendency and Variability (16)
  6. Depicting Distributions from Boxplots to z-Scores (14)
  7. Correlation And Regression (7)
  8. Basic Probability (14)
  9. Discrete Probability Distributions (10)
  10. Continuous Probability Distributions (6)
  11. Sampling And Populations (5)
  12. Sampling Distributions (9)
  13. Estimating Intervals, Point Estimators, and Confidence Intervals (10)
  14. Hypothesis Testing and Research Designs Introduction (12)
  15. Single-Sample Hypothesis Tests (z, t, p) (6)
  16. Assumptions, Significance,& Effect Size Wrap-Up (11)

Other Videos

Brandon Foltz

Particularly good for Regression / GLM , or anybody wanting really slow. His background is Business, including Accounting and Finance, and even has some Time Series. He starts each video with a positive message that you can learn this!

Playlists

 

 

 

University of Amsterdam / Research Methods & Statistics

Selected playlists are expanded to highlight important topics.

Videos are typically 5-8 minutes.

Playlists

Basic Statistics
  1. Exploring Data (9)
    1. Cases, variables and levels of measurement
    2. Data matrix and frequency table
    3. Graphs and shapes of distributions
    4. Mode, median and mean
    5. Range, interquartile range and box plot
    6. Variance and standard deviation
    7. Z-scores
    8. Example
  2. Correlation and Regression (8)
    1. Contingency tables and scatterplots
    2. Pearson's r
    3. Finding the regression line
    4. Describing the regression line
    5. How well does the regression line fit
    6. Correlation is not causation
    7. Example contingency table - Note: Column percentages were chosen because the columns held the "Independent Variable" (the variable that "comes first" and/or is hypothesized to cause the other).
    8. Example Pearson's r and regression
  3. Probability (11)
  4. Probability Distributions (8)
  5. Sampling Distributions (7)
  6. Confidence Intervals (7)
  7. Significance Tests (7)
Inferential Statistics
  1. Comparing two groups (9)
  2. Categorical association (6)
  3. Simple regression (9)
  4. Multiple regression (8)
    1. Regression model
    2. R and R-squared
    3. Overall F-test
    4. Individual T-tests
    5. Checking assumptions
    6. Categorical predictors
    7. Categorical response variable
    8. Interpreting results
  5. Analysis of variance (6)
  6. Non-parametric tests (6)
Quantitative Methods
  1. Origins of Science (10)
  2. The Scientific Method (10)
  3. Research Designs (11)
  4. Measurement (10)
    1. Operationalization
    2. Measurement structure
    3. Measurement levels
    4. Variable types
    5. Measurement validity
    6. Measurement reliability
    7. Survey, questionnaire and test (~5 min)
      • Explains terminology, and describes instructions, pros and cons of online administration, and scales
    8. Scales and response options (~6 min)
      • Likert scales; Scale construction; Well formulated questions: Short and simple, Unambiguous, Not suggestive, Answerable, Avoid Extreme wording; Response options: unambiguous, consistent, exhaustive, mutually exclusive
    9. Response and rater bias (~4.5 min)
      • Response Biases: acquiescence, social desirability, extreme response style, bias toward the middle; Rater biases: halo effect, generosity error, severity error.
    10. Other measurement types
  5. Sampling (9)
  6. Practice, Ethics and Integrity (9)

Crash Course: Statistics

Based on the AP Statistics Curriculum

Descriptive Statistics
Methodology
Probability
Statistical Inference
Bayesan Statistics
Hypothesis Tests
Other Topics
Applied Statistics

Study Hall: Data Literacy

Crash Course & Arizona State University

Explainer Videos

Here is a collection of additional YouTube channels that are useful if you need more on a particular topic. The videos are typically self-contained (or directly refer you to another video). Each of these presenters has a very different style, so hopefully there is something for everybody.

See the tabs for recommendations and/or an organized list (these are linked directly to the YouTube channel)

Best for Fundamental Concepts
  • Dr. Nic's Math and Stats - If other tutorials are too complicated or hard to follow: These videos simplify by focusing only on the most important aspects of every concept with a relatable example, and even have some practice with quizzes. Not always complete, but always useful

  • Simple Learning Pro - If you need a short and basic explanation of a term or other introductory concept. This is a small collection of videos in a single playlist, but it does a good job of getting quickly to the point.

More Complete / Advanced
  • Z Statistics - If you want to know how everything fits together and/or don't like math: Some videos are intentionally math-free (like a 30 min overview of all of statistics!), while others go deeply (but slowly) into calculations for even advanced topics.

  • StatQuest with Josh Starmer - If you do better with a slightly faster and sometimes entertaining presentation. This large collection of videos from a professor of genetics does include basic topics, but extends into machine learning and other advanced topics. There are fun hand-drawn pictures, and even some songs. 

Dr Nics Math & Stats

Videos targeted to high school, early college, and adult learners using friendly examples and graphics. This is only a small collection of some of the most relevant videos. See the link above for many more videos, including probability and examples using Excel.

Simple Learning Pro

The videos are grouped by label, but not in playlists. Here are the categories:  

  • 1. Descriptive Statistics (1.1-1.7) 2-8 min each
    • The Five Number Summary, Boxplots, and Outliers (1.6) ~5.5 min
  • 2. Correlation & Regression (2.1-2.4) 3-8 min each
  • 3. Research Methods (3.1-4.2) - 2-7 min each
  • 5. Normal Distributions (5.1-5.3) - 7-10 min each
    • Density Curves and their Properties (5.1),
    • The Normal Distribution and the 68-95-99.7 Rule (5.2),
    • Z-Scores, Standardization, and the Standard Normal Distribution  (5.3)
  • 7. Sampling Distributions  (7.2) ~11 min

Data Demystified

A small collection of relevant videos from Data Demystified by Jeff Galak, professor of Marketing at Carnegie Mellon. They use real examples and focus on intuitive understanding.

ZStatistics

A medium collection of videos on specific confusing terms both basic and advanced (his favorites). Includes both the basics as well as concepts needed by graduate-level students. Prefers to avoid math, but does teach the understanding of formulas where relevant. Uses the chapters function in YouTube to allow you to skip straight to the parts you need.