Recall from Exercise 10.1.19 that in a statistics class students were asked to calculate the number of Scrabble points their names would earn. For example, the Scrabble score for the name Tom Sawyer would be 17 points. The data file ScrabbleNames contains data on the following two variables: number of letters in a student’s name and the corresponding Scrabble score.
a. State in words the appropriate null and alternative hypotheses to test whether there is an association between the number of letters in a person’s name and the Scrabble points their name earns.

b. Describe how one might use everyday items (for example, coins, dice, cards, etc.) to conduct a tactile simulation-based test of the hypotheses. Be sure to clearly describe how the p-value will be computed from the simulation.

Data from exercise 10.2.19

Refer back to Exercise 10.1.20 about exploring the relationship between the number of letters in a name and the corresponding Scrabble score. Students were also asked to calculate the points per letter, that is, ratio = (Scrabble score)/(number of letters in name). The data file ScrabbleRatio contains Scrabble points for a student’s name and the corresponding ratio.