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.
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.
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.
"Unbalanced forces"
Yes, when a curve is pulled upward by extreme high scores, it is said to be positively skewed. In a positively skewed distribution, the tail on the right side is longer or fatter, indicating that there are a few unusually high values that affect the overall shape of the distribution. This results in the mean being greater than the median.
Both the mean and median represent the center of a distribution. Calculating the mean is easier, but may be more affected by outliers or extreme values. The median is more robust.