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When should measures of location and dispersion be computed from grouped data rather than from individual data values?
Wiki User
∙ 10y ago
The main need to work with grouped data was to reduce the number of data points that need to be stored and processed in calculation. With modern computers the storage and computation are not likely to be issues in many situations and so there is no need to use grouped data.
Wiki User
∙ 10y ago
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What do you mean by measures of central tendency and dispersion?
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.
Why are three different measures needed in math measures of central tendency and dispersion?
There are more than three measures. Some are better than others in some situations but not as good in other situations.
What is numerical measures of dispersion?
There are many:Range,Inter-quartile range,Percentile rangesMean absolute deviation from the mean or medianVarianceStandard deviationStandardised deviation
Why is range not a measure of central tendency?
Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.
What are measures of dispersion in healthcare?
It's a statistical tool used in psychology. A simple way of calculating the measure of dispersion is to calculate the range. The range is the difference between the smallest and largest value in a set of scores. This is a fairly crude measure of dispersion as any one high or low scale can distort the data. A more sophisticated measure of dispersion is the standard deviation which tells you how much on average scores differ from the mean.
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.
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 the measures of central tendency and the measures of dispersion?
difference
Are measures of central tendency complement to measures of dispersion?
call thi
What do you mean by measures of central tendency and dispersion?
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.
What is measures of dispersion?
pascal/newton kilometre
Can any of the measures of dispersion ever be negative?
no
How to calculate measures of dispersion?
34049-50(25.54)2
What are the definitions of means medians and modes Give an example of each that is reported in a health care organization Are measures of dispersion typically reported as well -- why would they b?
Are measures of dispersion typically reported as
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.
What includes the range and the interquartile range?
Both are measures of spread or dispersion.
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.
