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# What is an example of skewed distribution?

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A skewed distribution is one which is not symmetrical about the mean, or average. An exponential distribution is one example of a skewed probability distribution.

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Skewed distributions can be detected either by looking at a histogram of the data or by comparing the mean and median. The mean is calculated from the data values, while the median is found by locating the data point in the middle of the data set. If the mean and median are equal, the distribution is not skewed. If the mean is greater or less than the median, the distribution is skewed to the right or the left, respectively. A greater difference between mean and median corresponds to a more severely skewed distribution.

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## Related Questions

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Unequal class intervals can be used in frequency distribution if the rate of occurrence is very unevenly distributed, with certain classes showing far lower or far greater frequencies than those on either side. In many data tables and histograms, consistent intervals are used, but they cannot always account for irregularities and outliers like those that strategically use unequal intervals.

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The coefficient of variation is used in statistics to measure distribution. It can be found from the ratio of the standard deviation over the mean of a set of numbers to calculate both probability and frequency. When it is used in finance, the mean is considered the expected return.

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A Z-test is commonly used in statistics to determine whether a given hypothesis is true in a normal distribution or bell curve. Z-tests are optimal for sample sizes of 30 or greater, while student t-tests are best used for lower sample sizes.