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Which one is difficult to compute?
- a)Relative measures of dispersion
- b)Absolute measures of dispersion
- c)Both a) and b)
- d)Range
Correct answer is option 'A'. Can you explain this answer?
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Verified Answer
Which one is difficult to compute?a)Relative measures of dispersionb)A...
Relative measures of dispersion are known as ‘Coefficient of dispersion’. They are obtained as ratios or percentages. They are pure numbers independent of the units of measurement. Variability or dispersion among different distributions are compared by these relative measures.
One example will illustrate the point. Supposing the average mark of a group of students is 20 and the absolute measure of dispersion is 10 and the average mark of another group of students is 60 and the absolute measure of dispersion is also 10. This does not mean that variability in the two series are the same. For this, relative measure of dispersion should be calculated.
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Which one is difficult to compute?a)Relative measures of dispersionb)A...
Relative Measures of Dispersion are difficult to compute.
Explanation:
Relative measures of dispersion are those measures which express the extent of variation in relation to the size of the variable under consideration. These measures are expressed in percentage terms or in the form of ratios. Examples of relative measures of dispersion are coefficient of variation and the index of dispersion. These measures are difficult to compute because they involve complex calculations and require more time and effort than absolute measures of dispersion.
Absolute measures of dispersion, on the other hand, are those measures which express the extent of variation in the same units as the variable under consideration. Examples of absolute measures of dispersion are range, variance, and standard deviation. These measures are relatively easier to compute than relative measures of dispersion.
Range is the simplest measure of dispersion, which is calculated by subtracting the smallest value from the largest value in a data set. This measure is easy to compute but has limitations as it ignores the distribution of values within the data set.
In conclusion, relative measures of dispersion are difficult to compute as they involve complex calculations and require more time and effort than absolute measures of dispersion. However, they provide more meaningful information about the variation in a data set as they express the extent of variation in relation to the size of the variable under consideration.
Explanation:
Relative measures of dispersion are those measures which express the extent of variation in relation to the size of the variable under consideration. These measures are expressed in percentage terms or in the form of ratios. Examples of relative measures of dispersion are coefficient of variation and the index of dispersion. These measures are difficult to compute because they involve complex calculations and require more time and effort than absolute measures of dispersion.
Absolute measures of dispersion, on the other hand, are those measures which express the extent of variation in the same units as the variable under consideration. Examples of absolute measures of dispersion are range, variance, and standard deviation. These measures are relatively easier to compute than relative measures of dispersion.
Range is the simplest measure of dispersion, which is calculated by subtracting the smallest value from the largest value in a data set. This measure is easy to compute but has limitations as it ignores the distribution of values within the data set.
In conclusion, relative measures of dispersion are difficult to compute as they involve complex calculations and require more time and effort than absolute measures of dispersion. However, they provide more meaningful information about the variation in a data set as they express the extent of variation in relation to the size of the variable under consideration.
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Which one is difficult to compute?a)Relative measures of dispersionb)A...
Option A" relatively measure of dispersion is difficult to compute
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Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer?
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Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer?.
Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which one is difficult to compute?a)Relative measures of dispersionb)Absolute measures of dispersionc)Both a) and b)d)RangeCorrect answer is option 'A'. Can you explain this answer?.
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