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

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