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

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