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