Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingInterpret they-intercept ofa regressionline.419Be able toroundnumbersappropriately21Find theleastsquaresregressionline.Be able tocompare box-plots in terms oftheir shape,centre andspread.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)8Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation325Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot516Plot the leastsquaresregressionline on ascatter plot.Interpret thecoefficient ofdetermination.9Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot1323Be able todescribe a scatterplot in terms ofstrength, directionand form.6Know what astructuralchange is andwhat effect ithas on datamodelling1218Create afrequencytableBe able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.7Be able totransform the datausing the variousmethods toproduce a model.10Be able to usetransformedequations topredict valuesBe able tofindpercentagesBe able to testthe assumptionthat the data islinear using aresidual plot.17Be able to find Zscores andknow when Z-Scores areappropriate touse.Interpret theslope of aregressionline.2Be able toname theexplanatoryand responsevariables14222024Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.15Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland Categorialnominal111Be able to findthe lower andupper fencesto determine ifoutliers existBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingInterpret they-intercept ofa regressionline.419Be able toroundnumbersappropriately21Find theleastsquaresregressionline.Be able tocompare box-plots in terms oftheir shape,centre andspread.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)8Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation325Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot516Plot the leastsquaresregressionline on ascatter plot.Interpret thecoefficient ofdetermination.9Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot1323Be able todescribe a scatterplot in terms ofstrength, directionand form.6Know what astructuralchange is andwhat effect ithas on datamodelling1218Create afrequencytableBe able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.7Be able totransform the datausing the variousmethods toproduce a model.10Be able to usetransformedequations topredict valuesBe able tofindpercentagesBe able to testthe assumptionthat the data islinear using aresidual plot.17Be able to find Zscores andknow when Z-Scores areappropriate touse.Interpret theslope of aregressionline.2Be able toname theexplanatoryand responsevariables14222024Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.15Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland Categorialnominal111Be able to findthe lower andupper fencesto determine ifoutliers exist

Summary Book 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. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  2. Interpret the y-intercept of a regression line.
  3. 4
  4. 19
  5. Be able to round numbers appropriately
  6. 21
  7. Find the least squares regression line.
  8. Be able to compare box-plots in terms of their shape, centre and spread.
  9. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  10. 8
  11. Be able to discuss the validity of predictions in regards to interpolation and extrapolation
  12. 3
  13. 25
  14. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  15. 5
  16. 16
  17. Plot the least squares regression line on a scatter plot.
  18. Interpret the coefficient of determination.
  19. 9
  20. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  21. 13
  22. 23
  23. Be able to describe a scatter plot in terms of strength, direction and form.
  24. 6
  25. Know what a structural change is and what effect it has on data modelling
  26. 12
  27. 18
  28. Create a frequency table
  29. Be able to describe a box-plot in terms of it’s shape, centre and spread. Know not to use the range.
  30. 7
  31. Be able to transform the data using the various methods to produce a model.
  32. 10
  33. Be able to use transformed equations to predict values
  34. Be able to find percentages
  35. Be able to test the assumption that the data is linear using a residual plot.
  36. 17
  37. Be able to find Z scores and know when Z-Scores are appropriate to use.
  38. Interpret the slope of a regression line.
  39. 2
  40. Be able to name the explanatory and response variables
  41. 14
  42. 22
  43. 20
  44. 24
  45. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  46. 15
  47. Difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  48. 11
  49. 1
  50. Be able to find the lower and upper fences to determine if outliers exist