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

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