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

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