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The appropriate measure of dispersions for open – end classification is
- a)Standard deviation
- b)Mean deviation
- c)Quartile deviation
- d)All these measures
Correct answer is option 'C'. Can you explain this answer?
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The appropriate measure of dispersions for open – end classifica...
Measures of Dispersion:
Measures of dispersion are statistical measures that are used to describe the spread or variability of a set of data. They are used to analyze the degree of variation or diversity in a dataset. There are several measures of dispersion, including:
1. Range: The range is the difference between the highest and lowest values in a dataset.
2. Mean Deviation: The mean deviation is the average of the absolute deviations from the mean of a dataset.
3. Standard Deviation: The standard deviation is a measure of the amount of variation or dispersion of a set of data values.
4. Quartile Deviation: The quartile deviation is a measure of dispersion that indicates the spread of the middle 50% of the data.
Open-End Classification:
Open-end classification is a type of classification in which the upper limit and lower limit of a class interval are not specified. This type of classification is commonly used when dealing with continuous data, such as age, height, and weight.
Appropriate Measure of Dispersion for Open-End Classification:
When dealing with open-end classification, the appropriate measure of dispersion is the quartile deviation. This is because the quartile deviation is a measure of dispersion that indicates the spread of the middle 50% of the data. Since open-end classification does not have a specified upper or lower limit, the quartile deviation is a more suitable measure of dispersion than the mean deviation or standard deviation.
Conclusion:
In conclusion, the appropriate measure of dispersion for open-end classification is the quartile deviation. This measure of dispersion is used to indicate the spread of the middle 50% of the data and is more suitable for open-end classification than other measures of dispersion.
Measures of dispersion are statistical measures that are used to describe the spread or variability of a set of data. They are used to analyze the degree of variation or diversity in a dataset. There are several measures of dispersion, including:
1. Range: The range is the difference between the highest and lowest values in a dataset.
2. Mean Deviation: The mean deviation is the average of the absolute deviations from the mean of a dataset.
3. Standard Deviation: The standard deviation is a measure of the amount of variation or dispersion of a set of data values.
4. Quartile Deviation: The quartile deviation is a measure of dispersion that indicates the spread of the middle 50% of the data.
Open-End Classification:
Open-end classification is a type of classification in which the upper limit and lower limit of a class interval are not specified. This type of classification is commonly used when dealing with continuous data, such as age, height, and weight.
Appropriate Measure of Dispersion for Open-End Classification:
When dealing with open-end classification, the appropriate measure of dispersion is the quartile deviation. This is because the quartile deviation is a measure of dispersion that indicates the spread of the middle 50% of the data. Since open-end classification does not have a specified upper or lower limit, the quartile deviation is a more suitable measure of dispersion than the mean deviation or standard deviation.
Conclusion:
In conclusion, the appropriate measure of dispersion for open-end classification is the quartile deviation. This measure of dispersion is used to indicate the spread of the middle 50% of the data and is more suitable for open-end classification than other measures of dispersion.
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Community Answer
The appropriate measure of dispersions for open – end classifica...
To calculate "Quartile deviation" we need smallest observation and largest observation!
so simply it is dependent upon open and end i.e., smallest valued observation and largest valued observation.
formula to calculate Q.D= Q3-Q1/2
where as, Q3 is end observation and Q1 is first.
so simply it is dependent upon open and end i.e., smallest valued observation and largest valued observation.
formula to calculate Q.D= Q3-Q1/2
where as, Q3 is end observation and Q1 is first.
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The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. Can you explain this answer?
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The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. 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 The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. 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 The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. Can you explain this answer?.
The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. 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 The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. 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 The appropriate measure of dispersions for open – end classification isa)Standard deviationb)Mean deviationc)Quartile deviationd)All these measuresCorrect answer is option 'C'. Can you explain this answer?.
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