19Create afrequencytableFind theleastsquaresregressionline.10Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Be able to findthe lower andupper fencesto determine ifoutliers exist1622Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Know what astructuralchange is andwhat effect ithas on datamodelling1523Be able tocompare box-plots in terms oftheir shape,centre andspread.21814Interpret they-intercept ofa regressionline.1243Be able toroundnumbersappropriately4Be able to find Zscores andknow when Z-Scores areappropriate touse.76Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotInterpret thecoefficient ofdetermination.Plot the leastsquaresregressionline on ascatter plot.Be able totransform the datausing the variousmethods toproduce a model.25Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation12Interpret theslope of aregressionline.13Be able toname theexplanatoryand responsevariablesKnow to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)21Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotBe able to usetransformedequations topredict valuesBe able to testthe assumptionthat the data islinear using aresidual plot.1711920Be able todescribe a scatterplot in terms ofstrength, directionand form.5Be able tofindpercentages19Create afrequencytableFind theleastsquaresregressionline.10Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Be able to findthe lower andupper fencesto determine ifoutliers exist1622Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Know what astructuralchange is andwhat effect ithas on datamodelling1523Be able tocompare box-plots in terms oftheir shape,centre andspread.21814Interpret they-intercept ofa regressionline.1243Be able toroundnumbersappropriately4Be able to find Zscores andknow when Z-Scores areappropriate touse.76Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotInterpret thecoefficient ofdetermination.Plot the leastsquaresregressionline on ascatter plot.Be able totransform the datausing the variousmethods toproduce a model.25Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation12Interpret theslope of aregressionline.13Be able toname theexplanatoryand responsevariablesKnow to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)21Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotBe able to usetransformedequations topredict valuesBe able to testthe assumptionthat the data islinear using aresidual plot.1711920Be able todescribe a scatterplot in terms ofstrength, directionand form.5Be able tofindpercentages

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