QUANTitative Analysis & Statistics: Start Here

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.

• Descriptive Statistics
  • Types of Data: Nominal, Ordinal, Interval/Ratio ~6.5 min / Practice ~4.5 min
  • Summary statistics: Mean, Median, Mode ~5 min
  • Standard deviation and measures of spread ~5 min
  • Statistical Graphs ~6 min
  • The Normal Distribution ~8 min / The Central Limit Theorem ~7 min
• Statistical Inference
  • Statistical Inference ~7 min / Evidence ~3.5 min
  • Confidence Intervals ~ 4 min / quiz ~6 min /  Confidence levels ~4 min
  • Sampling error and variation ~6.5 min / Illustration with Box-plots ~6 min / Comparing two samples ~7.5 min
  • P-values ~5 min / quiz ~6.5 min /  calculations ~6.5 min / Statistical Significance ~3.5 min
  • Type 1 and Type 2 errors ~4 min
• Statistical Testing
  • Hypothesis testing: step-by-step, p-value, t-test for difference of two means ~8 min
  • Paired samples and independent samples ~5 min
  • Statistical Tests: Choosing ~10 min / practice ~10 min
  • Multiple Regression - Interpreting coefficients ~8 min / Predictions ~10 min / Dummy variables ~8 min
• Methodology
  • Experiments ~8.5 min
  • Time Series Analysis ~3 min
• Creating Surveys
  • Designing a Questionnaire or Survey (~5.5 min) - 5 steps
    • Define the problem, plan how it will be administered, write the questionnaire, desk check, pilot survey.
  • Writing Good Survey Questions (~3.5 min)
    • Open-Ended vs Closed-Ended Questions. Easy to answer, Short, Correct Spelling and Grammar, Appropriate language, Specific, Realistic, Define your terms, One idea, Positive if possible, No double negative, Alternatives, Avoid overlap, Provide all alternatives, Avoid bias, Neutral questions, Pilot test

 ... Clearly Explained!!!

• The Normal Distribution (~5 min) and Histograms (~4 min)
• Central Limit Theorem (~8 min) and Sampling (~4 min)
• Confidence Intervals (~7 min) and Population Parameters (~15 min)
• Standard Error (~12 min) and Standard Deviation vs Standard Error (~3 min)
• Null Hypothesis (~15 min) and Alternative Hypotheses (~10 min)
• p-values (~12 min) and One or Two Tailed P-Values (~7 min)
• Statistical Power (~8 min) and Power Analysis (~17 min)
• Linear Regression (~27.5 min) and R-squared (~11 min)
• Multiple Regression (~5.5 min)
• and more

Playlists

• Statistics Fundamentals (60)
• Linear Regression and Linear Models (10)
• Logistic Regression (7)
• Statistics and Machine Learning in R (9)
• Classification and Regression Trees (5)
• Random Forests (3)
• and more

Consulting service by a social scientist (now with various others) having a long-standing and active blog. Focused on the practical aspects and tips for basic and advanced analysis (e.g., mixed models), only some software-focused. Offers paid services and workshops (e.g., statistically speaking trainings), but many free high-quality resources (e.g., the blog).

• Many tips on workflow such as Strategies for Choosing and Planning a Statistical Analysis, The Steps for Running Any Statistical Model,and 5 Practical Issues to Consider in Choosing a Statistical Analysis, and 9 Strategies for Keeping Track of your Analyses and Output