Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.2415Create afrequencytableKnow what astructuralchange is andwhat effect ithas on datamodellingBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingFind theleastsquaresregressionline.13Be able tofindpercentages1116Be able tocompare box-plots in terms oftheir shape,centre andspread.Interpret thecoefficient ofdetermination.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotBe able to findthe lower andupper fencesto determine ifoutliers existBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation19Be able toroundnumbersappropriately112Be able toname theexplanatoryand responsevariables14Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to usetransformedequations topredict values42520Be able to testthe assumptionthat the data islinear using aresidual plot.Be able totransform the datausing the variousmethods toproduce a model.23215369Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalPlot the leastsquaresregressionline on ascatter plot.210Interpret they-intercept ofa regressionline.Interpret theslope of aregressionline.8Be able todescribe a scatterplot in terms ofstrength, directionand form.17718Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot22Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.2415Create afrequencytableKnow what astructuralchange is andwhat effect ithas on datamodellingBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingFind theleastsquaresregressionline.13Be able tofindpercentages1116Be able tocompare box-plots in terms oftheir shape,centre andspread.Interpret thecoefficient ofdetermination.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotBe able to findthe lower andupper fencesto determine ifoutliers existBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation19Be able toroundnumbersappropriately112Be able toname theexplanatoryand responsevariables14Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to usetransformedequations topredict values42520Be able to testthe assumptionthat the data islinear using aresidual plot.Be able totransform the datausing the variousmethods toproduce a model.23215369Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalPlot the leastsquaresregressionline on ascatter plot.210Interpret they-intercept ofa regressionline.Interpret theslope of aregressionline.8Be able todescribe a scatterplot in terms ofstrength, directionand form.17718Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot22

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