StatQuickie: Which t test to use

Lecture 48 of 49 in Statistics Fundamentals by StatQuest with Josh Starmer. 5 min. Watch on YouTube

Course: Statistics Fundamentals (Mathematics). Covers: statistics hypothesis testing p-values confidence intervals regression mean standard deviation t-test anova.

All lectures in Statistics Fundamentals

  1. StatQuest: Histograms, Clearly Explained · 4 min
  2. The Main Ideas behind Probability Distributions · 5 min
  3. The Normal Distribution, Clearly Explained!!! · 5 min
  4. The mean, the median, and the mode. · 0 min
  5. The Exponential Distribution · 0 min
  6. Population and Estimated Parameters, Clearly Explained!!! · 15 min
  7. Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!! · 14 min
  8. What is a (mathematical) model? · 4 min
  9. Hypothesis Testing and The Null Hypothesis, Clearly Explained!!! · 15 min
  10. Alternative Hypotheses: Main Ideas!!! · 10 min
  11. p-values: What they are and how to interpret them · 11 min
  12. Fisher's Exact Test and the Hypergeometric Distribution · 5 min
  13. How to calculate p-values · 25 min
  14. p-hacking: What it is and how to avoid it! · 14 min
  15. False Discovery Rates, FDR, clearly explained · 18 min
  16. Statistical Power, Clearly Explained!!! · 8 min
  17. Power Analysis, Clearly Explained!!! · 17 min
  18. Covariance, Clearly Explained!!! · 22 min
  19. Pearson's Correlation, Clearly Explained!!! · 19 min
  20. Conditional Probabilities, Clearly Explained!!! · 11 min
  21. Expected Values, Main Ideas!!! · 14 min
  22. Expected Values for Continuous Variables!!! · 20 min
  23. The Binomial Distribution and Test, Clearly Explained!!! · 16 min
  24. The Central Limit Theorem, Clearly Explained!!! · 8 min
  25. The Difference Between Technical and Biological Replicates · 5 min
  26. Sample Size and Effective Sample Size, Clearly Explained!!! · 7 min
  27. Standard Deviation vs Standard Error, Clearly Explained!!! · 3 min
  28. The standard error, Clearly Explained!!! · 12 min
  29. Bootstrapping Main Ideas!!! · 9 min
  30. Using Bootstrapping to Calculate p-values!!! · 8 min
  31. Bar Charts Are Better than Pie Charts · 2 min
  32. Boxplots are Awesome!!! · 3 min
  33. Logs (logarithms), Clearly Explained!!! · 16 min
  34. Confidence Intervals, Clearly Explained!!! · 7 min
  35. R-squared, Clearly Explained!!! · 11 min
  36. The Essence of Linear Regression!!! · 32 min
  37. The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.) · 9 min
  38. Lowess and Loess, Clearly Explained!!! · 10 min
  39. Linear Regression, Clearly Explained!!! · 27 min
  40. Linear Regression in R, Step-by-Step · 5 min
  41. Multiple Regression, Clearly Explained!!! · 5 min
  42. Multiple Regression in R, Step-by-Step!!! · 8 min
  43. Using Linear Models for t-tests and ANOVA, Clearly Explained!!! · 12 min
  44. Design Matrices For Linear Models, Clearly Explained!!! · 15 min
  45. Sampling from a Distribution, Clearly Explained!!! · 4 min
  46. Bam!!! Clearly Explained!!! · 3 min
  47. StatQuickie: Thresholds for Significance · 7 min
  48. StatQuickie: Which t test to use · 5 min
  49. StatQuest: One or Two Tailed P-Values · 7 min