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Is the mean most affected by unbalanced extreme score?

no


Which of three three measures of central tendency is most affected by extreme scores.?

mean


Which of three three measures of central tendency is most affected by extreme scores?

Of the mean, median and mode the mean would be most affected.


Is median easily affected by extreme scores?

No. That is one of the reasons it is used in preference to the mean.No, it is not.


Which of the following is least affected if an extreme high outlier is added to your data mean median or standard deviation or ALL?

The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.


What measures of central location is affected most by extreme values?

The mean is most affected. Mode and Median are not influenced as much by outliers.


The mean of a distribution of scores is the?

The mean of a distribution of scores is the average.


What Median of a distribution of scores?

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 measure of central tendency that is most affected by a few large or small numbers is?

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.


What does forças desequilibradas mean in English?

"Unbalanced forces"


When a curve is pulled upward by extreme high scores is it skewed positive?

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.


Why calculate for the mean and median in relation to a sample?

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.