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The distribution is unbalanced, because the right tail is larger than it would be if the distribution were balanced (symmetrical). Also called positive skew. See related link with diagrams that clarify this term.

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Q: What does it mean when the distribution of data is skewed to the right?
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Related questions

What is a positively skewed distribution?

A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.


When is data negatively or positively skewed?

i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed


When skewed right is the mean greater than median?

When a distribution is skewed to the right, the mean is greater than median.


What if the mean is greater than the median?

In the majority of Empirical cases the mean will not be equal to the median, so the event is hardly unusual. If the mean is greater, then the distribution is poitivelt skewed (skewed to the right).


When is the mean less than the median?

When the data distribution is negatively skewed.


When is the mean not a valid statistic to describe a set of data?

The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.


When the mean of a distribution of scores of measures is higher than the median the distribution would be?

The distribution is skewed to the right.


When the median lies to the right of the mean the distribution is probably?

Positively skewed.


What type of distribution pattern that occurs when the majority of the data values fall to the left of the mean?

positively skewed


What is the shape of a frequency distribution with an arithmetic mean of 800 pounds median of 758 pounds and a mode of 750 pounds?

As the mean is greater than the median it will be positively skewed (skewed to the right), and if the median is larger than the mean it will be negatively skewed (skewed to the left)


Which measure of central tendency best describes the data set without an outlier?

The mean may be a good measure but not if the data distribution is very skewed.


Can the distribution of the mean median and mode be equal if the are positively skewed or negatively skewed or symmetric?

Not necessarily.