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14. The median is the best measure of central tendency for this data set. This is because the data set has a few outliers (trials that lasted much longer than the others), which would skew the mean. The median is less sensitive to outliers, so it gives a more accurate representation of the typical length of a trial.

15. The mean is the best measure of central tendency for this data set. This is because the data set is relatively symmetric, and there are no extreme outliers. The mean gives a good overall picture of the typical commuting time of an employee.

16. The mode is the best measure of central tendency for this data set. This is because the data set has a clear "typical" size (32 fluid ounces), which occurs most frequently. The mode is a good measure of central tendency when the data set is skewed or has multiple peaks.

17. The mode is the best measure of central tendency for this situation. This is because you are asking for the most popular radio station, not the average or middle radio station. The mode is the most frequent value in a data set, so it will give you the best indication of which radio station is most popular among your schoolmates.

18. The median is the best measure of central tendency for this situation. This is because the data set is likely to be skewed, with a few very high salaries (the president and vice president) and many lower salaries (the factory workers). The median is not affected by outliers, so it will give you a more accurate representation of the typical salary of a worker at the company.

19. The mean is the best measure of central tendency for this situation. This is because we are interested in the average number of free throws that Juanita makes, and the mean is the best way to calculate the average.
     
 
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