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Q: Why are the measures of central tendencies so important in statistics?
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What are the merits and demerits of measures of central tendencies?

easures of central tendency


Are averages called measures of central tendencies?

Yes.


Which is most stable in the measures of central tendencies?

It depends on what measures you are comparing between!


Which one is better from all the measures of central tendencies?

mean


What is measures of central tendency as it relates to quantitative descriptive statistics?

They are the mean, median and mode.


What are the three measures of central tendency?

The mean and median are two measures of central tendency. In introductory statistics many schools include the mode as another example of central tendency but the mode could well be at the end of a distribution.


Are median and mean always similar why?

They are both called "measures of central tendencies" because they show something about a group of numbers and what value they are 'centered' around.


How do we obtain useful information from a set of data?

You calculate summary statistics: measures of the central tendency and dispersion (spread). The precise statistics would depend on the nature of the data set.


Do double bar graphs have central tendencies?

They can do.


Why is central tendency important?

Because it measures the averages of a collection of data


What is the importance of Central Tendency?

Central tendency is important in statistics. It allows individuals to find a representative value, to condense data, and to make comparisons.


Do you gain or loose information when you use statistics to reduce a population to a few characteristic numbers?

When you use statistics to reduce a population to a few characteristic numbers, you are simplifying the data by summarizing it into key measures like mean, median, and standard deviation. While you may lose some degree of detail and complexity in the process, you gain a clearer understanding of the population's central tendencies and variability, making it easier to draw insights and make informed decisions from the data.