it tells you
It is a measure of the spread or dispersion of the data.
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
The median, by definition, tells you the "half way point" of your data. Exactly half of the observations in the dataset will be less than the median and half will be greater than the median.
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
It gives a measure of the spread of the data.you
How should I know?
the midpoint of the data set
It means that particular observation is close to the population [or sample] mean.
No. The data set will remain the data set: they are the observations that are recorded.
It gives a measure of the spread of the data.
The mean tells the sum of the whole set of data.h
it tells you
A set of data has no mode when there is no number that occurs more frequently than another. The data set: 1, 2, 5, 5, 6 has a mode of 5. The data set: 1, 2, 3 has no mode.
The median is the midpoint of the data set. So half the observations are greater than the median and half are smaller.
It's impossible to tell unless we have both the graph and the set of data.
It is a measure of the spread or dispersion of the data.