"Centre" for a data set is an imprecise term.
The lowest level of measurement is on a nominal scale. There is no reasonable "centre" for data which are nominal. For example, favourite fruit. Some would mention the mode, but this is not "central" in any proper sense of the word.
The next level of measurement is on the ordinal scale, which means that the data set can be ordered according to some rule. One example, which is often found in opinion surveys is "Agree strongly / Agree / Disagree / Disagree strongly". or in clothing sizes (XS, S, M, L, XL and so on). Individual data points can be rearranged in this order. Then the centre is the MEDIAN which is the value in the middle position.
The next level of measurement is the interval scale, in which each of the data elements has a numerical measurement. In such cases, the median can be used but it is also possible to calculate the MEAN. This is the sum of all the values divided by the count of the values.
Finally, there is the ratio scale and both, the median and mean may be used.
The mean is like the average, all of the numbers in a data set added up and divided buy the number of numbers in the data set.
The mean is like the average, all of the numbers in a data set added up and divided buy the number of numbers in the data set.
No.
when you have a data set, the number that occurs the most often is the mode.Example: 2,3,3,3,4,4,4,5,6,8,8,8,8,8,8,8,8,8,8,8,8,8,10,11,13 the mode is 8.
Mean is an average of a list of numbers. Median is the middle of a list of numbers. Mode is the most common number in a list of numbers. Ex. 14 17 23 48 54, the Median would be 23, the mean would be 31.2, and the mode would be undefined. The mean, median, and mode are all measures of center for a data set. A measure of center is one way to get a single result that represents all of your data for a definitive answer to a math or science question. Mode is the number that shows up most in the data set. Mean (also known as average) is found after all the numbers in a data set are added together, and that sum is divided by how many numbers in the data set there are. Median is the number in the exact middle of the data set once the data set is put in the order of least to greatest value. If the number of numbers in the data set is even, and there are two medians, then you would find the mean of the median to get your true median. Here is an example. data set: 0,0,3, 4, 5,5,5, 66, 78, 80, 90, 99,99,99,99, 106 mode:99 median: 72 mean:48
a data point on a graph or in a set of results that is very much bigger or smaller than the next nearest data point.
A space between a set of data where no amount is recorded. Example: 1, 2, 2, 6
Yes it does. The center, which is the mean, affects the standard deviation in a potisive way. The higher the mean is, the bigger the standard deviation.
data pattern
Median ;
it is the greatest #(or number)in the set of data
You would use the median if the data were very skewed, with extreme values.