One reason I can think of why you might not be able to find the mean of numerical data would be if there were missing data points.
when there are extreme values in the data
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 one of the key measures of a data set: it shows the value around which the observations are spread out.
You have to add all the numbers together then divide it by how many numbers there are
find assumed mean data is 46,55,52,59,63,47,56,50,51,55 ,
to find the mean of a set of numbers you have to find the total sum of the data divided by the number of addends in the data.
One reason I can think of why you might not be able to find the mean of numerical data would be if there were missing data points.
no
when there are extreme values in the data
The data point is close to the expected value.
You can estimate the median and the mean.
Th find the mean of a data set, you add up all the values in the data set and divide this sum by the number of data values. For example, the mean for the data set 2, 5, 6, and 7 is given as 2 plus 5 plus 6 plus 7, which is 20. You divide this sum by number of values in the data set, which is 4 to get 5 as the mean.
The ''mean'' is just another term for average. To find the mean, you must add all of the data together and divide that number by the number of pieces of data. Hope this helped! ~Maci~
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.