Math, asked by harshsingh24012005, 11 months ago

Empirical relationship between Mean Mode Median class 10

Answers

Answered by poonammishra148218
0

Answer:

The ratio of the median to the mean, multiplied by three, is the mode.

Explanation:

Step : 1In statistics, there is a relationship between mean, median, and mode given a moderately skewed distribution. The "empirical connection," which is defined as Mode being equal to the difference between 3 times the median and 2 times the mean, is the name given to this relationship between mean, median, and mode.

Step : 2The simplest whole-number ratio of the different atoms present in a compound is represented by an empirical formula. The precise amount of various atom types that make up a compound's molecule are displayed in the molecular formula. Example: CH is the empirical formula for acetylene. The empirical formula is as follows for acetylene\mathrm{C}_2 \mathrm{H}_2.

Step : 3How crucial is the empirical rule in statistics:

When not all the data is accessible, the empirical rule is typically the main tool used to determine outcomes. When all the data are accessible, it enables statisticians or data analysts to understand where the data will fall. The empirical rule aids in gauging a data set's degree of normality.

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Answered by tripathiakshita48
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The empirical relationship between a data set's mean, mode, and median describes the relationships between these three measures of central tendency. By adding all the values and dividing by the total number of values, the mean—the average of all the values in a data set—is determined. The value that appears the most frequently in a data set is called the mode, and the value that divides the data set in half is called the median.

The median, mode, and mean are all equal in a set of data that is symmetrical. This indicates that the values are evenly and fairly distributed around the central value.

The mean, for instance, will be higher than the median, which will be higher than the mode in a data set with a positive skew. This is so because outliers and extreme values can skew the mean, or average, in one direction. The central value in a skewed data set is better represented by the median, which is unaffected by outliers.

In general, understanding the shape and distribution of a data set can be aided by understanding the empirical relationship between the mean, mode, and median. We can learn more about the central trends and distribution of the data by contrasting the values of these measures and then base our decisions on this knowledge.

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