An outlier is 1.5 times the mean, when you are taking an average it may give an inaccurate representation of the data. It usually does not affect the median.* * * * * The above definition of an outlier is total rubbish! It is necessary to have a measure of the central tendency (mean or median) AND spread (standard deviation or inter quartile range - IQR) to define an outlier.If Q1 and Q3 are the lower and upper quartiles, then outliers are normally defined as observations lying below Q1 - k*IQR or above Q3 + k*IQR. There is no universally agreed definition of outliers and hence no fixed value for k. But k = 1.5 is often used.
Measure the length,width, and depth of the are you want to spread the mulch.
It is a measure of how much individual values spread around the average.
There are several things that will cause a large variance. One would be a large spread in the data; the other is the data may contain an outlier(s) that is causing it or a combination of both.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
The standard deviation is a measure of the spread of data.
It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.
The spread of pollination.
An outlier is 1.5 times the mean, when you are taking an average it may give an inaccurate representation of the data. It usually does not affect the median.* * * * * The above definition of an outlier is total rubbish! It is necessary to have a measure of the central tendency (mean or median) AND spread (standard deviation or inter quartile range - IQR) to define an outlier.If Q1 and Q3 are the lower and upper quartiles, then outliers are normally defined as observations lying below Q1 - k*IQR or above Q3 + k*IQR. There is no universally agreed definition of outliers and hence no fixed value for k. But k = 1.5 is often used.
Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller.
It is a measure of the spread of the distribution: whether all the observations are clustered around a central measure or if they are spread out.
Measure the length,width, and depth of the are you want to spread the mulch.
spread ur legs
4 inch center the 4 3/4 spread is the distance outside to outside the sink will more then likely measure 5 inch spread in not more
Standard deviation (SD) is a measure of the amount of variation or dispersion in a set of values. It quantifies how spread out the values in a data set are from the mean. A larger standard deviation indicates greater variability, while a smaller standard deviation indicates more consistency.
It is a measure of how much individual values spread around the average.
There are several things that will cause a large variance. One would be a large spread in the data; the other is the data may contain an outlier(s) that is causing it or a combination of both.