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

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