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

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