Editing Statistics and Statistical Programming (Fall 2020)/pset2
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* <code>y</code>: A continuous measure of income calculated in tens of thousands of dollars and scaled so that "0" = average income for a Divvy member (i.e., a value of "5" = $50,000 more per year than an average Divvy member). | * <code>y</code>: A continuous measure of income calculated in tens of thousands of dollars and scaled so that "0" = average income for a Divvy member (i.e., a value of "5" = $50,000 more per year than an average Divvy member). | ||
# Return to the conditional means you created in | # Return to the conditional means you created in PC2.6 above. Given the information you now have about the study, how would you interpret them? Does there seem to be any sort of relationship between the two variables? | ||
# Return to the bivariate contingency table you created in | # Return to the bivariate contingency table you created in PC2.7 above. Given the information you now have about the study, how would you interpret it? Does there seem to be any sort of relationship between the two variables? | ||
# Return to the scatterplot you created in | # Return to the scatterplot you created in PC2.8 above. Given the information you now have about the study, how would you interpret it? Does there seem to be any sort of relationship between the two variables? | ||
===SQ2. Birthdays revisited (Optional bonus!)=== | ===SQ2. Birthdays revisited (Optional bonus!)=== |