When a data set has an outlier, the median is often the best measure of center to describe the data. This is because the median is resistant to extreme values and provides a better representation of the central tendency in the presence of outliers. In contrast, the mean can be significantly skewed by outliers, making it less reliable in such cases.
When a data set has an outlier, the best measure of center to use is the median, as it is less affected by extreme values compared to the mean. For measure of variation (spread), the interquartile range (IQR) is preferable, since it focuses on the middle 50% of the data and is also resistant to outliers. Together, these measures provide a more accurate representation of the data's central tendency and variability.
A right angle
the data value that is much higher or lower than the other data given is called an outlier
Yes, they would.
The median, as long as you don't want to do any serious statistical testing.
The median.
When a data set has an outlier, the best measure of center to use is the median, as it is less affected by extreme values compared to the mean. For measure of variation (spread), the interquartile range (IQR) is preferable, since it focuses on the middle 50% of the data and is also resistant to outliers. Together, these measures provide a more accurate representation of the data's central tendency and variability.
A right angle
The mean may be a good measure but not if the data distribution is very skewed.
the data value that is much higher or lower than the other data given is called an outlier
The length of a chord that contains the center of the circle
Moderate
Yes, they would.
Pressure decreases toward the center
a center of Islamic culture
Nothingness. Nothingness. Nothingness. Nothingness.
That's called the 'radius'.