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Prices of cars have a distribution that is skewed to the right with outliers in the right tail. Which of the measures of central tendency is the best to summarize this data set? Explain.

Short Answer

Expert verified
In the case of skewed data with outliers in the right tail, the median would be the best measure of central tendency. Because it's not affected by the extreme values or outliers.

Step by step solution

01

Understanding the mean in case of skewed data

The arithmetic mean or the average is influenced by every score in the data set. It is the sum of all the data divided by the count. In a data set with extreme values or outliers, such as with a positively skewed data set, the mean gets dragged in the direction of the skew. So, it is higher than the typical values of the data set, making it not the best option for this data set.
02

Understanding the median in case of skewed data

The median is the middle value that separates the higher half from the lower half of the data set. Being a positional average, the effect of extreme values, outliers, or skewed data is minimum. Therefore, it is usually a better choice for data with extreme outliers or skewed data.
03

Understanding the mode in case of skewed data

The mode is the value that appears most frequently in a data set. In a skewed dataset, the mode represents the most common value but ignores the influence of the outliers or the skewed nature. So, it might not be the best measure of central tendency in this case.

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