The median.
Median is your answer
When the data are not numerical but can be ordered , the median may be used as a measure of central tendency. Put the data in order and choose the middle value. For example, low, medium,medium,low, high etc.
It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them. Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Median is your answer
The "median" is the exact middle score, or the average of the two middle scores if there are an even number of data points.
When the data are not numerical but can be ordered , the median may be used as a measure of central tendency. Put the data in order and choose the middle value. For example, low, medium,medium,low, high etc.
"Central tendency" is a phrase comprising TWO words, it is not a word. Central tendency refers to the tendency of some data sets to collect around their middle value.
It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them. Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them. Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
That is the median. Go to the middle value if there is an odd number of values, and half-way between the two in the middle if there is an even number of values.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Range is NOT a measure of central tendency. In a number of distribution - though by no means all - the mean, median and mode are near the middle of the distribution. That is more likely to be the case with a large number of observations (or experiments).
Though mean, median, and mode is central tendency, it is hard to put this into words.For an example:Your average grade in math class is an A. Though, how did you calculate that average? Well, since average means mean, you calculated that average using the method of central tendency, or in this situation, you found the mean.In other words, central tendency is just a method (mean, median and mode) to find the average, middle, and most occurring score or number in a set of data.I hope this helped! ;D~Lovingless
The measure of center is a single value that represents the middle or central tendency of a dataset. Common measures of center include the mean, median, and mode, which each describe different aspects of the data's distribution. The choice of measure depends on the characteristics of the data and the specific question being addressed.