The mean is the best central tendency to measure the expected number of strokes required for the ninth hole.
What is mean?
In statistics, in addition to the mode and median, the mean is one of the measures of central tendency. Simply put, the mean is the average of the values in the given set. It indicates that values in a particular data set are distributed equally.
The three most frequently employed measures of central tendency are the mean, median, and mode. The total values provided in a datasheet must be added, and the sum must be divided by the total number of values in order to determine the mean.
Why mean is the best choice in this case?
Since it considers all of the data in relation to one another, the mean is an effective indicator of central tendency. When there are outliers (extreme values) in the data, for example, the mean is a poor measurement; in this situation, the median is preferable.
The data set is roughly symmetrical in the scenario described in the question, so the mean is the most-suited central tendency measure to employ here.
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