<prompt> In a negative skewed deviation, TRUE statement is :Mean is greater than the medianMean is equal to the modeMean is less than the medianMode is less than the median  <response>: Ans. is c ie Mean is less than the median Relationship among the three measures of central tendency ie mean, median and mode in a skewed curve is an oft repeated question.Lets first see what skewed distribution curve is.An asymmetrical distribution curve can be of two types:Positive skewed distribution curveNegative skewed distribution curvePositive or right and negative or left skewed curves are recognized by the location of the tail of the curve not by the location of the hump - a common errorPositive or Right skewed distribution curveThese curves have a relatively large number of low scores and a small no of very high scoresThe mean lies towards the extreme right of the curveNegative or left skewed distribution curve.These curves have a large number of high scores and a relatively small number of low scores the mean lies towards the extreme left of the curve.Now lets see the measures of central tendency.Mode is the most frequently occurring value it lies at the peak of the hump.Mean is the arithmetic average it is greatly influenced by the relatively small number of very high or very low scores it liestowards the extreme right in a right Positive distribution curve andtowards the extreme left in a left negative distribution curve.Median is the middle value it lies bw the mean and mode dividing the curve into two equal halves.Relationship bw the measures of central tendency In a symmetrical curveMean Median Mode In a Positive Right skewed curveMean Median Mode In a Negative left skewed curveMean Median Mode 