0
The mode may be more useful than the mean when there are extreme values in the data set?
Wiki User
∙ 14y ago
True. I've included a link which will help you understand why.
Wiki User
∙ 14y ago
Add your answer:
Earn +20 pts
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.
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.
Is the mean equal to the median in a data set consisting of 1000 values that are all different?
If a data set consists of 1000 different values can the mean and the median be the same
What are the advantages and disadvantages of Range mode median and inter quartile range?
RangeAdvantage - Shows the spread of the resultsDisadvantage - Does not take into account any 'clustering' of results in a set of data.- It is affected strongly by outliers (very high or very low results).ModeAdvantage - Shows the most popular result for non-numerical dataDisadvantage - Does not always give one value, it is not unique- It can only be used on a set of data where one or more values are repeated.MedianAdvantage - Extreme values do not affect the median as strongly as they do the mean- Useful when comparing sets of data- It is uniqueDisadvantage - It does not take into account the spread of results or show clustering of data, much like the range.Interquartile RangeAdvantages - Ignores extreme values- easier to use than the range when comparing data.Disadvantages - Er, I'll get back to you on that. Maybe the IQR has no flaws?
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.
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.
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 harmonic mean?
advantage is that it is used in situations in which there are extreme values in data. it can give a true picture of average of a data
When do you use mean and median?
The mean is used to measure the average of a set of values, especially when the data is normally distributed. The median is used to find the middle value of a dataset when there are extreme values or outliers present, as it is less affected by extreme values.
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.
What does advantages and disadvantages mean?
MEANUse the mean to describe the middle of a set of data that does not have an outlier.Advantages:• Most popular measure in fields such as business, engineering and computer science.• It is unique - there is only one answer.• Useful when comparing sets of data.Disadvantages:• Affected by extreme values (outliers)
When might you want to use the median to describe the center of a data set instead of then mean?
You would use the median if the data were very skewed, with extreme values.
What is the sum of the data divided by the number of data values?
It is the mean average of number of collected data values.
What is A set of data values called where there are more data values above the Mean?
skewed
The sum of the values of a data set divided by the number of values?
Will gve the mean average of the data
