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Which statistical test to use? :)

María Jesús Grueso Spanisch 5,0Durchschnittliche Bewertung 5,0 von 5 (1 Bewertung) 39 Karten

Karten in diesem Stapel (39)

  1. 1Alternative non-parametric test for TWO-SAMPLES UNPAIRED T-TEST (when non-normally distributed data)MANN-WHITNEY-U TEST
  2. 2Alternative non-parametric test for ONE-SAMPLE T-TEST and PAIRED T-TEST (when non-normally distributed data)WILCOXON TEST
  3. 3Alternative non-parametric tests for T-TESTS (when non-normally distributed data)MANN-WHITNEY-U TEST and WILCOXON TEST
  4. 4Comparison of the means of two groups: which workflow must be followed?1) Shapiro test or Kolmogorov-Smirnov test to check if populations are nomally distributed:
    - Non-parametric.
    - Parametric.
    2) In parametric cases, F-test to check if variances are equal.
    - T-test.
    - Welch's correction.
  5. 5Which variants of t-test have we studied?One sample t-test, two-samples t-test, paired t-test, one-tail t-test and two-tailed t-test
  6. 6When to use ONE-SAMPLE T-TEST?One group compared to a standard value and the dependent variable is quantitative
  7. 7Which test would you use for the following example? Measure blood pressure in mice before and after a certain treatment.PAIRED T-TEST (same individuals in both groups; not independent observations)
  8. 8Which test would you use for the following example? Check if a mutation increases Drosophila lifespan (known value)ONE-SAMPLE T-TEST (comparison of one group to a known value; quantitative outcome, lifespan; categorical predictor, mutation)
  9. 9Which test would you use for the following example? Compare the acidity of a medium conditioned by microglia to a neutral pH of 7.ONE-SAMPLE T-TEST (comparison of one group to a known value; quantitative outcome, pH; categorical predictor, condition by microglia)
  10. 10When is SHAPIRO TEST used?- To check if the populations are normally distributed (before going for a t-test; first step)
    - High power for 2 < n < 50
  11. 11When is KOLMOGOROV-SMIRNOV test used?- To check if the populations are normally distributed (before going for a t-test; first step)
    - High n necessary
  12. 12Which correction can be used in multiple comparison t-tests?BONFERRONI CORRECTION (alpha' = alpha/number of hypothesis or comparisons)
  13. 13Alternative non-parametric test for ONE-SAMPLE T-TEST (when dependent variable is NOMINAL/CATEGORICAL)- Chi-square.
    - Binomial test (two possible outcomes)
  14. 14Alternative non-parametric test for TWO-SAMPLES T-TEST (when dependent variable is NOMINAL/CATEGORICAL)- Chi square for large samples.
    - Fisher's test for small samples.
  15. 15Which test would you use for the following example? Check is a mutation (bias) alter the ratio of M/FChi square or binomial test (comparison of one group, "mutation", to a known value for nominal dependent variable, "male" or "female")
  16. 16Which test would you use for the following example? Placebo and treated group (n small) and then, you count how many are alive and dead to test if the proportion is the same between the two treatmentsFisher's test (comparison of two groups, categorical nominal outcome)
  17. 17Which test would you use for the following example? Study on a group of blindfold people, ask them to hold the arm at 45% (known value) because you want to see if blindness affects the position at this angleOne-sample t-test (one group compared to a known value)
  18. 18Which test would you use for the following example? Compare mitochondrial acidification in a group treated with drug A and a group treated with drug BTwo-samples t-test
  19. 19Alternative non-parametric test for REPEATED MEASURES ANOVA (when non-normally distributed data)Friedman's test
  20. 20Alternative non-parametric test for ONE-WAY ANOVA or TWO-WAY ANOVAKruskal-Wallis test
  21. 21When do we use ANOVA tests?When comparing the means of three or more groups
  22. 22Which variants of ANOVA have we studied?One-way ANOVA, two-way ANOVA, MANOVA (+ repeated measures ANOVA)
  23. 23When do we use one-way ANOVA?One categorical predictor and one quantitative dependent variable
  24. 24When do we use two-way ANOVA?Two categorical predictors and one quantitative dependent variable
  25. 25When do we use MANOVA?One categorical predictor and several quantitative outcomes
  26. 26Which test would you use for the following example? Groups: treatment A, treatment B and control (no treatment). We measure the expression levels of two different ion channels.MANOVA
  27. 27Which test would you use for the following example? Two different treatments in two different mouse strains, which produces 4 groups and we measure the blood pressure of the miceTWO-WAY ANOVA (treatment and strain are the two categorical predictors)
  28. 28Difference between post-analysis tests: Tukey vs. Studen-Newman-KeulsTukey: more conservative (prone to beta error, miss real differences)
    Student-Neuman-Keuls: more powerful (prone to alpha error, find false differences)
  29. 29Which post-analysis test would you use if you only want to compare different treatment groups to the control?Dunnet's test
  30. 30What should you report after an ANOVA test?Type of test, F value, number of groups, degrees of freedom and p-value
  31. 31Predictor: quantitative. Dependent variable: quantitative. If only one predictor variable, which test would you use to make predictions?SINGLE LINEAR REGRESSION
  32. 32Which test would you use for the following example? Does the amount of time sleeping vary with age in the mutant?SINGLE LINEAR REGRESSION
  33. 33Alternative non-parametric test for SINGLE LINEAR REGRESSIONNon-parametric regression (non-normally distributed data) or simple logistic regression (nominal data)
  34. 34Predictor: quantitative. Dependent variable: quantitative. If more than one predictor variable, which test would you use to make predictions?MULTIPLE LINEAR REGRESSIONS
  35. 35Alternative non-parametric test for MULTIPLE LINEAR REGRESSIONSMULTIPLE LOGISTIC REGRESSION
  36. 36Which test would you use for the following example? Speed of crickets under different temperatures.SINGLE LINEAR REGRESSION
  37. 37Which test would you use for the following example? Independent variables: air temperature, humidity, body mass, leg length, and you want to see how they relate to chirping speed in crickets (outcome variable)MULTIPLE LINEAR REGRESSION
  38. 38Which test would you use for the following example? You want to compare treatment A group with treatment B group and then you "measure" responders vs. non-respondersCHI SQUARE TEST (comparison of two groups when categorical independent and dependent variables) OR FISHER'S TEST (n small)
  39. 39Which test would you use for the following example? You have treatment A group and treatment B group and you divide each of them in responders vs. non-responders. Then you measure glucose levels.TWO-WAY ANOVA (two categorical predictors and one quantitative dependent variable)

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Karteikarten am Which statistical test to use? :), erstellt von María Jesús Grueso am 05/07/2022.
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  • Erstellt von María Jesús Grueso · 5 Jul 2022
  • Kopiert von María Jesús Grueso · 5 Jul 2022
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Durchschnittliche Bewertung 5,0 von 5 (1 Bewertung)

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