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correlation which can be strong or weak
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What are the whiskers of a box plot?
They are some measure of the dispersion or range of numbers in the set of data.
Which measures of central tendency become larger as the data is more dispersed?
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
How many data sets would you have?
You need to indicate the conditions.
What is dispersion and various measures of dispersion?
Dispersion is the act of spreading people or things (like seeds) out over a large area. Measures of dispersion tell us the degree of variation of values in a sample or population.
What is the difference between Dispersion and Skewness?
distinguish between dispersion and skewness
What is despersion?
Dispersion is an abstract quality of a sample of data. Dispersion is how far apart or scattered the data values appear to be. Common measures of dispersion are the data range and standard deviation.
Dispersion is the degree of variation in the data?
No
What has the author Floyd Buckley written?
Floyd Buckley has written: 'Tables of dialectic dispersion data for pure liquids and dilute solutions' 'Tables of dielectric dispersion data for pure liquids and dilute solutions' -- subject(s): Dielectrics, Dispersion, Solution (Chemistry)
What important feature of the data set is not revealed through the different measures of centre?
The dispersion of the data.
What does the mean absolute deviation tell you about a set of data?
It is a measure of the spread or dispersion of the data.
What measure of dispersion is used with bimodal distribution?
Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ
Why standard deviation is best measure of dispersion?
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
What is the significance of variance in statistics?
Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.
What are the whiskers of a box plot?
They are some measure of the dispersion or range of numbers in the set of data.
Why measures of dispersion are important along with measures of central tendency to understand the nature of the data?
Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.
Which measures of central tendency become larger as the data is more dispersed?
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
Why are the measures of dispersion necessary to describe a set of data?
Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.
