Mean, median, and mode.
The arithmetic mean is the simplest and most common of all statistics. Add all the values of the observations, and divide by the total number of observations. That's it.
To arrive at the median, rank order the values of the observations from lowest to highest, and look at the middle value. This is your median. In the event the number of observations is even, take the mean of the middle two values (where the median would be if there were an odd number of observations).
The mode is simply that number in the data set that appears most. Data distributions (or the pattern of your data) can have two modes, three modes, or any number of modes, provided all the values are equal in frequency. Alternatively, distributions can have no mode at all.
In the distribution below, there are 3 modes:
1 1 1 2 2 2 3 3 3
the values 1, 2, & 3 each appear 3 times. The median is 2 (it is smack dab in the middle of the distribution), and the mean is:
(3(1)+3(2)+3(3))/9=2
The mean and median are two measures of central tendency. In introductory statistics many schools include the mode as another example of central tendency but the mode could well be at the end of a distribution.
One of the measures of central tendency IS the average, also known as mean. You can't calculate the average from other measures of central tendency.
"What are the benefits of measures of central tendency? Explain with an example
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
difference
The mean and median are two measures of central tendency. In introductory statistics many schools include the mode as another example of central tendency but the mode could well be at the end of a distribution.
They are the mean, median and mode.
"Measures of central tendency are statistical measures." is an accurate statement.
Benefits of Central Tendency
One of the measures of central tendency IS the average, also known as mean. You can't calculate the average from other measures of central tendency.
"What are the benefits of measures of central tendency? Explain with an example
easures of central tendency
You calculate summary statistics: measures of the central tendency and dispersion (spread). The precise statistics would depend on the nature of the data set.
They are statistics of central tendency.
The mean of 9 is 9. The median of 9 is 9. The mode of 9 is 9. These are the commonest measures of central tendency.
well...the measures of the central tendency would be 30 minutes
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.