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This simply means that if you plot a histogram of the scores it will be asymmetric.

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11y ago

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Related Questions

What is a negative frequency distribution?

If most the population has many high scores, the distribution is negatively skewed. If most have many low scores, it is positively skewed


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.


A lopsided distribution of scores in which the mean is much larger than both the mode and median is said to be?

skewed.


True or false a hard test is an example of a positively skewed distribution?

Yes


When a curve is pulled upward by extreme high scores is it skewed positive?

Yes, when a curve is pulled upward by extreme high scores, it is said to be positively skewed. In a positively skewed distribution, the tail on the right side is longer or fatter, indicating that there are a few unusually high values that affect the overall shape of the distribution. This results in the mean being greater than the median.


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 a population distribution is right skewed is the sampling distribution normal?

No, as you said it is right skewed.


Who invented skewed distribution?

Nobody invented skewed distributions! There are more distributions that are skewed than are symmetrical, and they were discovered as various distribution functions were discovered.


Is a normal distribution a skewed?

No.


Can a normal distribution curve be symmetric or left-skewed or right-skewed?

Symmetric


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.


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).