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

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 use transformed equations to predict values
  3. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  4. Plot the least squares regression line on a scatter plot.
  5. Be able to name the explanatory and response variables
  6. Be able to find percentages
  7. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  8. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  9. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  10. Be able to compare box-plots in terms of their shape, centre and spread.
  11. Be able to test the assumption that the data is linear using a residual plot.
  12. Interpret the coefficient of determination.
  13. Be able to find Z scores and know when Z-Scores are appropriate to use.
  14. Know what a structural change is and what effect it has on data modelling
  15. Find the least squares regression line.
  16. Be able to describe a scatter plot in terms of strength, direction and form.
  17. Interpret the y-intercept of a regression line.
  18. Know the difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  19. Be able to round numbers appropriately
  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. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  23. Create a frequency table
  24. Be able to transform the data using the various methods to produce a model.
  25. Interpret the slope of a regression line.