No, because the average is all of the numbers added up and divided by the number of numbers. For example: 25,40, and 55 add up to 120. When divided in this case, the mean is 40. But: Say you have 70,90, and 101 when added it comes to 261. When divided, the answer is 87. Since 87 is not one of the values, the mean is not always equal to a value in the data set.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
The mean.
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
The value is 0.3055
No. They are equal only if the distribution is symmetrical.
No.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
The mean.
the mean
Difference (deviation) from the mean.
the mean %100
When the data set consistys of a single value.
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
A standard deviation of zero means that all the data points are the same value.
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
The least value of the data set is called the minimum.
For different sets of data, the mean would be the summation of all observations, which are normally subdivided by the observation numbers. The mean value would frequently be quoted with standard deviations: mean would describe data central locations then standard deviations illustrate the spread. Substitute dispersion measures include mean variations that are always equal to average absolute deviations from the mean values. It is minimally responsive to the outliers. Hope this helps.