Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot1610Be able to find Zscores andknow when Z-Scores areappropriate touse.1815Interpret theslope of aregressionline.Find theleastsquaresregressionline.Be able tofindpercentages1211Interpret thecoefficient ofdetermination.Plot the leastsquaresregressionline on ascatter plot.Be able todescribe a scatterplot in terms ofstrength, directionand form.198Be able to findthe lower andupper fencesto determine ifoutliers exist25Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able to testthe assumptionthat the data islinear using aresidual plot.Interpret they-intercept ofa regressionline.71713Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to usetransformedequations topredict valuesBe able totransform the datausing the variousmethods toproduce a model.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotKnow what astructuralchange is andwhat effect ithas on datamodelling122Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland Categorialnominal14Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Create afrequencytable3242029234Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation21Be able toroundnumbersappropriatelyBe able toname theexplanatoryand responsevariablesBe able tocompare box-plots in terms oftheir shape,centre andspread.5Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.6Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot1610Be able to find Zscores andknow when Z-Scores areappropriate touse.1815Interpret theslope of aregressionline.Find theleastsquaresregressionline.Be able tofindpercentages1211Interpret thecoefficient ofdetermination.Plot the leastsquaresregressionline on ascatter plot.Be able todescribe a scatterplot in terms ofstrength, directionand form.198Be able to findthe lower andupper fencesto determine ifoutliers exist25Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able to testthe assumptionthat the data islinear using aresidual plot.Interpret they-intercept ofa regressionline.71713Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to usetransformedequations topredict valuesBe able totransform the datausing the variousmethods toproduce a model.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotKnow what astructuralchange is andwhat effect ithas on datamodelling122Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland Categorialnominal14Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Create afrequencytable3242029234Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation21Be able toroundnumbersappropriatelyBe able toname theexplanatoryand responsevariablesBe able tocompare box-plots in terms oftheir shape,centre andspread.5Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.6

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