Between-groups dfYounger spendmore whenshort; olderspend morewhen longWithin-groupsvariance =16.03Effect differsacrosslevels(interaction)F =30/25 =1.20Y-interceptBetween≈ withinwhen nullis trueRegressionCriterionvariableRejectthe nullPredictedappetite= 9Factorial-designANOVACurvilinearcorrelationCompare3+ groups(ANOVAadvantage)Units changein criterionper predictorunitDichotomizing:high vs lowgroupsMore moneyspent withlongshoppingtimeMeanSquareError =0.28Showsrelationpredictor↔ criterionF =0.36Predictorvariable(X)Short: noage diff;long:youngerspend moreY –ŶStatisticallysignificantdifferenceF muchlargerthan 1PowerRepeated-measuresANOVA ↔dependentmeansInteractioneffectindicatedMultipleregressionErrorssquared sothey don’tcancelTeststatisticFalse(within-groups ≠treatmenteffect)MeanSquare= 133.066cellsa (Y-intercept)Regressioncoefficient(b)Not allmeans equal(unclearwhich differ)Predictedsocialskills = 46True(effect sizeindicatessize)Populationvarianceestimatewithin groups(S²within)Ŷ = a +b₁X₁ +b₂X₂F =1.220.2%chance dueto randomerrorWithin-groupsdfAge inmonthsBetween-groups dfYounger spendmore whenshort; olderspend morewhen longWithin-groupsvariance =16.03Effect differsacrosslevels(interaction)F =30/25 =1.20Y-interceptBetween≈ withinwhen nullis trueRegressionCriterionvariableRejectthe nullPredictedappetite= 9Factorial-designANOVACurvilinearcorrelationCompare3+ groups(ANOVAadvantage)Units changein criterionper predictorunitDichotomizing:high vs lowgroupsMore moneyspent withlongshoppingtimeMeanSquareError =0.28Showsrelationpredictor↔ criterionF =0.36Predictorvariable(X)Short: noage diff;long:youngerspend moreY –ŶStatisticallysignificantdifferenceF muchlargerthan 1PowerRepeated-measuresANOVA ↔dependentmeansInteractioneffectindicatedMultipleregressionErrorssquared sothey don’tcancelTeststatisticFalse(within-groups ≠treatmenteffect)MeanSquare= 133.066cellsa (Y-intercept)Regressioncoefficient(b)Not allmeans equal(unclearwhich differ)Predictedsocialskills = 46True(effect sizeindicatessize)Populationvarianceestimatewithin groups(S²within)Ŷ = a +b₁X₁ +b₂X₂F =1.220.2%chance dueto randomerrorWithin-groupsdfAge inmonths

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