Directions: Follow along with the slides and answer the questions in red font in your journal.
colorswhen you load it.
namesof the 4 variables that contain the point-totals, or scores, for each personality color.
namesof the variables that tell us an observation's birth gender and whether they participated in playing sports.
dotPlotof the scores for your predominant color.
dotPlotcomes out looking wonky, try changing the value of the character expansion argument,
1. Try a few values between
1and a few more values larger than
meanvalue of your predominant color score:
mean(~____, data = colors)
medianvalue of your predominant color.
medianroughly the same? If not, use the
dotPlotyou made in the last slide to describe why.
dotPlotof your predominant color again; but this time, facet the plot based on gender.
Assignthe mean values a name. Then place the name into the
diff()function to calculate the difference. How much more/less did one birth gender score over the other for your predominant color?
dotPlotas the horizontal spread.
dotPlotyou made for your predominant color then fill in the blank:
Data points in my plot will usually fall within ____ units of the center.
MAD(~_____, data = colors)