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

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