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

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