It means that there is little variability in the data set.
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.
To calculate the mean absolute deviation (MAD) of a data set, first find the mean of the data. Then, subtract the mean from each data point to find the absolute deviations. Finally, take the average of these absolute deviations. If you provide the specific data set, I can help calculate the MAD for you.
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.
MAD, or Mean Absolute Deviation, is calculated by first finding the mean (average) of a data set. Next, you subtract the mean from each data point to find the absolute deviations, and then take the average of those absolute deviations. The formula can be expressed as MAD = (Σ|x_i - mean|) / n, where x_i represents each data point, and n is the total number of data points. This measure provides insight into the variability of the data set.
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.
It's impossible to tell unless we have both the graph and the set of data.