no
Of the mean, median and mode the mean would be most affected.
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
The mean is most affected. Mode and Median are not influenced as much by outliers.
The mean of a distribution of scores is the average.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
no
mean
Of the mean, median and mode the mean would be most affected.
No. That is one of the reasons it is used in preference to the mean.No, it is not.
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
The mean is most affected. Mode and Median are not influenced as much by outliers.
An extreme score refers to a data point that lies significantly outside the typical range of values in a dataset, often far from the mean or median. These scores can be identified using statistical methods, such as z-scores or interquartile ranges, and may indicate outliers. Extreme scores can result from measurement error, variability in the data, or genuine anomalies, and they can significantly influence statistical analyses and interpretations.
The mean of a distribution of scores is the average.
The median of a distribution of scores is the middle value when the scores are arranged in ascending or descending order. If there is an odd number of scores, the median is the middle score; if there is an even number, it is the average of the two middle scores. The median is a measure of central tendency that is less affected by outliers than the mean, making it a useful indicator of the typical score in a dataset.
If I were allowed to choose the most favorable measure of central tendency for my test scores, I would select the median. Given the scores of 89, 81, 85, 82, and 89, the median is 85, which is higher than the mean of 84. Since the median is less affected by extreme values, it provides a better representation of my performance, especially with the presence of a lower score.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
No, the median is not affected by extreme values, or outliers, in a data set. The median is the middle value when the data is arranged in order, meaning it remains stable even if the highest or lowest values change significantly. This makes the median a more robust measure of central tendency compared to the mean, which can be skewed by extreme values.