Interpret they-intercept ofa regressionline.Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotBe able toroundnumbersappropriatelyKnow the differencebetween Numericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalInterpret theslope of aregressionline.Know what astructuralchange is andwhat effect ithas on datamodellingBe able tofindpercentagesBe able to usetransformedequations topredict valuesBe able to testthe assumptionthat the data islinear using aresidual plot.Plot the leastsquaresregressionline on ascatter plot.Be able totransform the datausing the variousmethods toproduce a model.Be able todescribe a scatterplot in terms ofstrength, directionand form.Find theleastsquaresregressionline.Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe 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 thecoefficient ofdetermination.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be able to findthe lower andupper fencesto determine ifoutliers existCreate afrequencytableBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolationBe able toname theexplanatoryand responsevariablesInterpret they-intercept ofa regressionline.Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotBe able toroundnumbersappropriatelyKnow the differencebetween Numericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalInterpret theslope of aregressionline.Know what astructuralchange is andwhat effect ithas on datamodellingBe able tofindpercentagesBe able to usetransformedequations topredict valuesBe able to testthe assumptionthat the data islinear using aresidual plot.Plot the leastsquaresregressionline on ascatter plot.Be able totransform the datausing the variousmethods toproduce a model.Be able todescribe a scatterplot in terms ofstrength, directionand form.Find theleastsquaresregressionline.Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe 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 thecoefficient ofdetermination.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be able to findthe lower andupper fencesto determine ifoutliers existCreate afrequencytableBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolationBe 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. Interpret the y-intercept of a regression line.
  2. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  3. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  4. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  5. Be able to round numbers appropriately
  6. Know the difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  7. Interpret the slope of a regression line.
  8. Know what a structural change is and what effect it has on data modelling
  9. Be able to find percentages
  10. Be able to use transformed equations to predict values
  11. Be able to test the assumption that the data is linear using a residual plot.
  12. Plot the least squares regression line on a scatter plot.
  13. Be able to transform the data using the various methods to produce a model.
  14. Be able to describe a scatter plot in terms of strength, direction and form.
  15. Find the least squares regression line.
  16. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  17. Be able to compare box-plots in terms of their shape, centre and spread.
  18. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  19. Interpret the coefficient of determination.
  20. Be able to describe a box-plot in terms of it’s shape, centre and spread. Know not to use the range.
  21. Be able to find the lower and upper fences to determine if outliers exist
  22. Create a frequency table
  23. Be able to find Z scores and know when Z-Scores are appropriate to use.
  24. Be able to discuss the validity of predictions in regards to interpolation and extrapolation
  25. Be able to name the explanatory and response variables