Final answer:
Jeremy's data set of jump heights from snowboarding shows a positive skew because the distribution has a longer tail towards the higher values.
Step-by-step explanation:
Jeremy loves snowboarding and has recorded the heights achieved in each attempt to determine the skewness of his data set. To determine whether the data set has a negative, positive, or zero skew, we need to look for the shape of the distribution of his jump heights. If the tail of the data is stretched towards the higher values, it's a positive skew; if it's stretched towards lower values, it's a negative skew; and if it's symmetrical, it's zero skew.
After arranging the data in ascending order (11, 11, 12, 13, 14, 14, 15, 15, 16, 16, 16, 17, 18, 18, 19, 20, 21, 22, 23, 24), we can see that there are more values at the lower end of the range, with a longer tail towards the higher values, indicating a positive skew. Therefore, the answer is (a) Positive.