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

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