The correct answer is: A. Normal distribution
A normal distribution is a probability distribution that is symmetrical about the mean, median, and mode. It is often called a bell curve because of its characteristic bell shape. The mean, median, and mode are all equal in a normal distribution.
A positively-skewed distribution is a distribution in which the tail on the right side of the graph is longer than the tail on the left side. This means that there are more data points with values that are greater than the mean than there are data points with values that are less than the mean.
A negatively-skewed distribution is a distribution in which the tail on the left side of the graph is longer than the tail on the right side. This means that there are more data points with values that are less than the mean than there are data points with values that are greater than the mean.
In a normal distribution, the mean, median, and mode are all equal. This means that the arithmetic mean is maximum as compared to median and mode.
In a positively-skewed distribution, the mean is greater than the median and mode. This means that the arithmetic mean is greater than the median and mode.
In a negatively-skewed distribution, the mean is less than the median and mode. This means that the arithmetic mean is less than the median and mode.
Therefore, the answer is: A. Normal distribution