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

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