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


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
  1. Know the difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  2. Be able to find percentages
  3. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  4. Interpret the coefficient of determination.
  5. Be able to describe a scatter plot in terms of strength, direction and form.
  6. Be able to find the lower and upper fences to determine if outliers exist
  7. Find the least squares regression line.
  8. Plot the least squares regression line on a scatter plot.
  9. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  10. Be able to compare box-plots in terms of their shape, centre and spread.
  11. Interpret the slope of a regression line.
  12. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  13. Be able to name the explanatory and response variables
  14. Be able to use transformed equations to predict values
  15. Be able to describe a box-plot in terms of it’s shape, centre and spread. Know not to use the range.
  16. Create a frequency table
  17. Be able to test the assumption that the data is linear using a residual plot.
  18. Be able to transform the data using the various methods to produce a model.
  19. Interpret the y-intercept of a regression line.
  20. Be able to find Z scores and know when Z-Scores are appropriate to use.
  21. Be able to discuss the validity of predictions in regards to interpolation and extrapolation
  22. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  23. Be able to round numbers appropriately
  24. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  25. Know what a structural change is and what effect it has on data modelling