Not allmeans equal(unclearwhich differ)Regressioncoefficient(b)Effect differsacrosslevels(interaction)F =1.22Predictedappetite= 9Predictedsocialskills = 46Dichotomizing:high vs lowgroupsMore moneyspent withlongshoppingtimeBetween≈ withinwhen nullis trueTeststatisticBetween-groups dfShort: noage diff;long:youngerspend moreY-interceptCurvilinearcorrelationFactorial-designANOVAPowerRejectthe nullMultipleregressionAge inmonthsF =30/25 =1.20F muchlargerthan 1Within-groupsdf6cellsStatisticallysignificantdifferenceFalse(within-groups ≠treatmenteffect)Compare3+ groups(ANOVAadvantage)MeanSquare= 133.06F =0.36CriterionvariableRepeated-measuresANOVA ↔dependentmeansErrorssquared sothey don’tcancelMeanSquareError =0.28Predictorvariable(X)Ŷ = a +b₁X₁ +b₂X₂Populationvarianceestimatewithin groups(S²within)RegressionYounger spendmore whenshort; olderspend morewhen longShowsrelationpredictor↔ criterionUnits changein criterionper predictorunita (Y-intercept)InteractioneffectindicatedY –ŶTrue(effect sizeindicatessize)0.2%chance dueto randomerrorWithin-groupsvariance =16.03Not allmeans equal(unclearwhich differ)Regressioncoefficient(b)Effect differsacrosslevels(interaction)F =1.22Predictedappetite= 9Predictedsocialskills = 46Dichotomizing:high vs lowgroupsMore moneyspent withlongshoppingtimeBetween≈ withinwhen nullis trueTeststatisticBetween-groups dfShort: noage diff;long:youngerspend moreY-interceptCurvilinearcorrelationFactorial-designANOVAPowerRejectthe nullMultipleregressionAge inmonthsF =30/25 =1.20F muchlargerthan 1Within-groupsdf6cellsStatisticallysignificantdifferenceFalse(within-groups ≠treatmenteffect)Compare3+ groups(ANOVAadvantage)MeanSquare= 133.06F =0.36CriterionvariableRepeated-measuresANOVA ↔dependentmeansErrorssquared sothey don’tcancelMeanSquareError =0.28Predictorvariable(X)Ŷ = a +b₁X₁ +b₂X₂Populationvarianceestimatewithin groups(S²within)RegressionYounger spendmore whenshort; olderspend morewhen longShowsrelationpredictor↔ criterionUnits changein criterionper predictorunita (Y-intercept)InteractioneffectindicatedY –ŶTrue(effect sizeindicatessize)0.2%chance dueto randomerrorWithin-groupsvariance =16.03

Untitled Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Not all means equal (unclear which differ)
  2. Regression coefficient (b)
  3. Effect differs across levels (interaction)
  4. F = 1.22
  5. Predicted appetite = 9
  6. Predicted social skills = 46
  7. Dichotomizing: high vs low groups
  8. More money spent with long shopping time
  9. Between ≈ within when null is true
  10. Test statistic
  11. Between-groups df
  12. Short: no age diff; long: younger spend more
  13. Y-intercept
  14. Curvilinear correlation
  15. Factorial-design ANOVA
  16. Power
  17. Reject the null
  18. Multiple regression
  19. Age in months
  20. F = 30/25 = 1.20
  21. F much larger than 1
  22. Within-groups df
  23. 6 cells
  24. Statistically significant difference
  25. False (within-groups ≠ treatment effect)
  26. Compare 3+ groups (ANOVA advantage)
  27. Mean Square = 133.06
  28. F = 0.36
  29. Criterion variable
  30. Repeated-measures ANOVA ↔ dependent means
  31. Errors squared so they don’t cancel
  32. Mean Square Error = 0.28
  33. Predictor variable (X)
  34. Ŷ = a + b₁X₁ + b₂X₂
  35. Population variance estimate within groups (S²within)
  36. Regression
  37. Younger spend more when short; older spend more when long
  38. Shows relation predictor ↔ criterion
  39. Units change in criterion per predictor unit
  40. a (Y-intercept)
  41. Interaction effect indicated
  42. Y – Ŷ
  43. True (effect size indicates size)
  44. 0.2% chance due to random error
  45. Within-groups variance = 16.03