Not all the time
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
34.1% of the data values fall between (mean-1sd) and the mean.
The mean of a set of data is the sum of all those data values, divided by the numbers of values in the set. For instance, if we had 1, 3 and 5, the mean would be (1+3+5)/3 = 3. The mean doesn't always have to be one of the data points in the set. For instance, if we had the data 1, 6, 7, 7, 8. The mean would be (1+6+7+7+8)/5 = 5.8, even though 5.8 isn't one of the values in the set.
It is the mean average of number of collected data values.
skewed
Will gve the mean average of the data
The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
The sample mean is not necessarily equal to one of the values in the sample. It is calculated by summing all the values in the sample and dividing by the number of observations. While the mean can coincide with one of the sample values, this is not a requirement and often does not occur, especially in larger or more diverse data sets.
It is the mean absolute deviation.
mean
yes/no data type stores only one oftwo values
Mean