when there are extreme values in the data
The median is more useful than the mean in situations where the data set contains outliers or is skewed. For example, in household income data, where a few extremely high incomes can distort the average, the median provides a better representation of the typical income level. This makes the median a more reliable measure for understanding central tendency in such cases.
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.
Analyzing the mean, median, and range of your experimental data helps establish patters present in the data set. Analyzing the mean will define the quantitative average, analyzing the median will find the number that is center most, and analyzing the range will find the difference between the largest and smallest number in the data set. Good luck!
Let the data set be 3,4,5,6,7,8. First put the data in rank order ; already done!!!! To find the MEDIAN , we tak the two middle numbers, '5' & '6' in this case. Then (5 + 6) / 2 = 11/2 = 5.5 5.5 is the Median.
the median and mode are but the mean is not
You can estimate the median and the mean.
Mean, median and mode are ways to find averages. The mode is the most common answer in a set of data. The median the number that is in the middle when the numbers are put in order. The mean is the statical average.
You can estimate them both.
You can estimate them both.
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.
To find the mean, you all them all up and divide by how many ever there are. To find the median, you put them in order and the middle one is the median. If there are an even number of data, you take the two in the middle, add them together, then divide by 2.
No, not all data sets have a mode but all data sets have a mean and median.
Analyzing the mean, median, and range of your experimental data helps establish patters present in the data set. Analyzing the mean will define the quantitative average, analyzing the median will find the number that is center most, and analyzing the range will find the difference between the largest and smallest number in the data set. Good luck!
it is used to find mean<median and mode of grouped data
Let the data set be 3,4,5,6,7,8. First put the data in rank order ; already done!!!! To find the MEDIAN , we tak the two middle numbers, '5' & '6' in this case. Then (5 + 6) / 2 = 11/2 = 5.5 5.5 is the Median.
When the distribution has outliers. They will skew the mean but will not affect the median.
The median is used when reporting ordinal data.