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Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
The mode may be more useful than the mean when there are extreme values in the data set?
True. I've included a link which will help you understand why.
What is the advantages and disadvantages of harmonic mean?
The advantage of harmonic mean is that it is used to solve situations in which there are extreme data values to true picture. The disadvantage of it is that it can be time consuming to evaluate the data.
When computing Standard deviation should you eliminate the extreme values?
Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.
What are the advantages of mode?
extreme values don't affect the mode
Do extreme values affect the median?
No they do not (or at least they have less of a significant impact) and this is the benefit of using the median average over the mean average.
How extreme value affect mean?
An extreme value will drag the mean value towards it.
Which summary measures are influenced by extreme values?
mode and mean
When is the mean used as a measure of central tendency?
When there aren't extreme values (outliers)
A good statistical indicator to avoid the distortion of extreme values is the?
weighted mean
Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
Do extremely high or low scores affect the value of the median?
No, extremely high or low values will not affect the median. Because the median is the middle number of a series of numbers arranged from low to high, extreme values would only serve as the end markers of the values.
Which variation is very sensitive to extreme values?
Any variation is very sensitive to extreme values!
The measure of location that is the most likely to be influenced by extreme values in the data set is the range?
mean
Advantages and disadvantages of median in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
