If cost data have a long tail of very high costs, the distribution is described as being skewed in which direction?

Study for the WHEBP Evidence as it Relates to Cost Test. Use flashcards and multiple-choice questions, with explanations and hints. Prepare for your exam efficiently!

Multiple Choice

If cost data have a long tail of very high costs, the distribution is described as being skewed in which direction?

Explanation:
When a distribution has a long tail of very high costs, the tail extends to the right, pulling the bulk of the data toward the lower end. This is called right-skewed (positive skew) data. In a right-skewed cost distribution, many observations cluster at lower costs while a few extremely high costs stretch the tail to the high end, often making the mean larger than the median. The other shapes don’t fit: a left-skewed distribution would have the tail on the low-cost side; a normal distribution is symmetric; a uniform distribution would have no leaning tail and would be flat. Therefore, the data are right-skewed.

When a distribution has a long tail of very high costs, the tail extends to the right, pulling the bulk of the data toward the lower end. This is called right-skewed (positive skew) data. In a right-skewed cost distribution, many observations cluster at lower costs while a few extremely high costs stretch the tail to the high end, often making the mean larger than the median. The other shapes don’t fit: a left-skewed distribution would have the tail on the low-cost side; a normal distribution is symmetric; a uniform distribution would have no leaning tail and would be flat. Therefore, the data are right-skewed.

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