The correct answer is C. Negatively skewed distribution.
A negatively skewed distribution is a distribution where the mode has a lower value than the median and the median is less than the mean. This means that the majority of the data points are clustered towards the higher end of the scale, with a few data points that are much lower. This type of distribution is often seen in data sets where there are a few outliers, or extreme values.
A positively skewed distribution is a distribution where the mode has a higher value than the median and the median is greater than the mean. This means that the majority of the data points are clustered towards the lower end of the scale, with a few data points that are much higher. This type of distribution is often seen in data sets where there are a few outliers, or extreme values.
A normal distribution is a type of distribution that is symmetrical around the mean. The mean, median, and mode are all equal in a normal distribution.
A continuous distribution is a type of distribution where there are no gaps between the data points. This means that any value within the range of the data set is possible.
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