The answer depends on the type of data. The mean or median are useless if the data are qualitative (categoric): only the mode is any use. The median is better than the mean is the data are very skewed.
Median
which measure best describes the data set
The mean may be a good measure but not if the data distribution is very skewed.
That depends on the data.
A pie graph represent data as a part of a whole, showing the separate portions of the data in accordance to the whole.
Median
mean
The measure of center is a single value that represents the middle or central tendency of a dataset. Common measures of center include the mean, median, and mode, which each describe different aspects of the data's distribution. The choice of measure depends on the characteristics of the data and the specific question being addressed.
mean does not mean the center of the data
mean does not mean the center of the data
Nothingness. Nothingness. Nothingness. Nothingness.
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.
which measure best describes the data set
The median.
A. Quantitative
the data value that is much higher or lower than the other data given is called an outlier
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.