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

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