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What is the difference between the measures of central tendency and the measures of dispersion?
difference
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.
What is dispersion method?
It is the measure of central tendency.
How do you find an average from the measures of central tendency?
One of the measures of central tendency IS the average, also known as mean. You can't calculate the average from other measures of central tendency.
What are the benefits of measures of central tendency Explain with an example?
"What are the benefits of measures of central tendency? Explain with an example
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 the difference between the measures of central tendency and the measures of dispersion?
difference
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 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 is the difference between measure of central tendency and measures of dispersion?
Measures of central tendency, such as mean, median, and mode, summarize a dataset by identifying the central point or typical value. In contrast, measures of dispersion, such as range, variance, and standard deviation, describe the spread or variability of the data points around the central value. While central tendency provides an overview of where data points cluster, dispersion indicates how much the data varies, highlighting the degree of diversity or consistency within the dataset. Together, they offer a comprehensive understanding of the data's characteristics.
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 method?
It is the measure of central tendency.
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.
Is range a measure of central tendency?
no it is a measure of dispersion.
Which statements accurately describes the measures of central tendency?
"Measures of central tendency are statistical measures." is an accurate statement.
Advantages of measures of central tendency?
Benefits of Central Tendency
How do you find an average from the measures of central tendency?
One of the measures of central tendency IS the average, also known as mean. You can't calculate the average from other measures of central tendency.
