No.
The Mean is the average of a given set of values. The Median is the value that has the same number of smaller values than the number of higher values, it is in the middle of them. In a symmetrical distribution the Mean is equal to the Median. In an asymmetrical distribution they have different value.
The mode is the most probable value. Often, you determine the mode by plotting the experimental probability distribution, and finding the peak value. The mode is not necessarily the same as the mean nor the median, unless the distribution is symmetrical.
mean deviation is minimum
Yes, a symmetrical distribution can have variation. Variation refers to the spread of data points around the mean, which can be quantified using measures like variance or standard deviation. Even in a perfectly symmetrical distribution, such as a normal distribution, the data can vary widely; it simply means that the distribution of data points on either side of the mean is balanced.
Your distribution is unimodal and symmetrical.
for symmetrical distributions your mean equals the median. that is one of the properties of the symmetrical distribution.
No they are not the same in a unimodal symmetrical distribution and they will never be
The Mean is the average of a given set of values. The Median is the value that has the same number of smaller values than the number of higher values, it is in the middle of them. In a symmetrical distribution the Mean is equal to the Median. In an asymmetrical distribution they have different value.
Yes, and they WILL be if the distribution is symmetrical.
The mode is the most probable value. Often, you determine the mode by plotting the experimental probability distribution, and finding the peak value. The mode is not necessarily the same as the mean nor the median, unless the distribution is symmetrical.
mean deviation is minimum
The median and mode.
Yes, a symmetrical distribution can have variation. Variation refers to the spread of data points around the mean, which can be quantified using measures like variance or standard deviation. Even in a perfectly symmetrical distribution, such as a normal distribution, the data can vary widely; it simply means that the distribution of data points on either side of the mean is balanced.
Normal distribution is a perfectly symmetrical bell-shaped normal distribution. The bell curve is used to find the median, mean and mode of a function.
No. They are equal only if the distribution is symmetrical.
Your distribution is unimodal and symmetrical.
yes it is true