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For the construction of grouped frequency distribution from ungrouped data we use
- a)Class limits
- b)Class boundaries
- c)Class width
- d)None
Correct answer is option 'A'. Can you explain this answer?
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For the construction of grouped frequency distribution from ungrouped ...
Construction of Grouped Frequency Distribution
To convert ungrouped data into grouped data, we use the following steps:
1. Determine the range of the data
2. Decide on the number of classes
3. Calculate the class width
4. Determine the lower class limit of the first class
5. Determine the upper class limit of each class
6. Tally the data into the appropriate classes
7. Count the number of tallies for each class
Class Limits
Class limits are the minimum and maximum values that can belong to a class. For example, if we have data ranging from 10 to 100 and we decide to divide it into five classes, the class limits for the first class might be 10 to 29.99, the class limits for the second class might be 30 to 49.99, and so on.
Class Boundaries
Class boundaries are the values that separate one class from another. For example, if the class limits for the first class are 10 to 29.99, the class boundaries would be 9.5 and 30.5. This is because the class boundaries are halfway between the class limits.
Class Width
Class width is the difference between the upper and lower class limits of a class. For example, if the class limits for the first class are 10 to 29.99, the class width would be 20.
Conclusion
From the above explanation, it is clear that for the construction of grouped frequency distribution from ungrouped data we use class limits, which are the minimum and maximum values that can belong to a class.
To convert ungrouped data into grouped data, we use the following steps:
1. Determine the range of the data
2. Decide on the number of classes
3. Calculate the class width
4. Determine the lower class limit of the first class
5. Determine the upper class limit of each class
6. Tally the data into the appropriate classes
7. Count the number of tallies for each class
Class Limits
Class limits are the minimum and maximum values that can belong to a class. For example, if we have data ranging from 10 to 100 and we decide to divide it into five classes, the class limits for the first class might be 10 to 29.99, the class limits for the second class might be 30 to 49.99, and so on.
Class Boundaries
Class boundaries are the values that separate one class from another. For example, if the class limits for the first class are 10 to 29.99, the class boundaries would be 9.5 and 30.5. This is because the class boundaries are halfway between the class limits.
Class Width
Class width is the difference between the upper and lower class limits of a class. For example, if the class limits for the first class are 10 to 29.99, the class width would be 20.
Conclusion
From the above explanation, it is clear that for the construction of grouped frequency distribution from ungrouped data we use class limits, which are the minimum and maximum values that can belong to a class.
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For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect answer is option 'A'. Can you explain this answer?
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For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect 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 For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect 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 For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect answer is option 'A'. Can you explain this answer?.
For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect 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 For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect 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 For the construction of grouped frequency distribution from ungrouped data we usea)Class limitsb)Class boundariesc)Class widthd)NoneCorrect answer is option 'A'. Can you explain this answer?.
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