mode and mean
The mean is most affected. Mode and Median are not influenced as much by outliers.
extreme values don't affect the mode
When there aren't extreme values (outliers)
They are called extreme values or outliers.
The middle value so half the data is above it and half the data is below it. It is often used because extreme values tend to affect it less than other measures of central tendency. If you have an even number of data points, the median is the mean of those two points. ( So you add the two values and divided by two)
The mean is most affected. Mode and Median are not influenced as much by outliers.
The mean is the measure of central tendency most influenced by outliers. Since it is calculated by summing all values and dividing by the number of values, extreme values can significantly skew the result. In contrast, the median and mode are less affected by outliers, making them more robust measures in such situations.
Because it is easily influenced by extreme values (i.e. it is not unbiased).
mean
values is values
Any variation is very sensitive to extreme values!
Measures of the general value are a common need. Average, Median, and Mode are the three commonest.Average is the arithmetic average of all the values.Median is the actual measurement which is midwaybetween the extreme values, and is often closest to the average.Mode is the commonest value.Other indicators of central tendency, may ignore all value beyond say, three standard deviations, and thus ignore the contribution by the extreme, and uncommon, values.
Values that are commonly accepted and are not extreme in any way.
yes
The mean is the arithmetic average of a set of values, while the median is the middle value when the data is ordered. In symmetrical distributions, the mean and median are typically close or equal, but in skewed distributions, the mean can be influenced by extreme values, making it higher or lower than the median. Thus, the median is often preferred as a measure of center for skewed data, as it provides a better representation of the typical value without being affected by outliers.
An extreme interpretation of Islamic values.
The range of a set of data is the difference between the maximum and minimum values, providing a measure of the total spread of the data. In contrast, the interquartile range (IQR) specifically measures the spread of the middle 50% of the data by calculating the difference between the first quartile (Q1) and the third quartile (Q3). While the range is influenced by extreme values, the IQR is more robust to outliers, making it a better measure of variability for skewed distributions.