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Data classified according to some characteristics that are capable of direct measurement is called
a) quantitative classification.
b) qualitative classification.
c) chronological classification.
d) geographical classification.
Correct answer is option 'A'. Can you explain this answer?
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Data classified according to some characteristics that are capable of ...
Quantitative Classification
Quantitative classification refers to data that is classified according to some characteristics that are capable of direct measurement. This type of classification involves data that can be expressed in numerical terms and is based on quantitative analysis.
Examples of quantitative data include:
- Age
- Height
- Weight
- Income
- Number of products sold
- Number of employees
Advantages of Quantitative Classification:
- Provides precise and accurate information
- Allows for statistical analysis and easy comparison between data sets
- Can be used to make predictions and forecasts
Disadvantages of Quantitative Classification:
- May not provide a complete picture of the data
- Does not capture subjective or qualitative aspects of the data
Conclusion:
Quantitative classification is an important method for organizing and analyzing data. It is particularly useful for data that can be expressed in numerical terms, and provides precise and accurate information for decision-making. However, it is important to also consider qualitative aspects of the data to get a complete picture of the situation.
Quantitative classification refers to data that is classified according to some characteristics that are capable of direct measurement. This type of classification involves data that can be expressed in numerical terms and is based on quantitative analysis.
Examples of quantitative data include:
- Age
- Height
- Weight
- Income
- Number of products sold
- Number of employees
Advantages of Quantitative Classification:
- Provides precise and accurate information
- Allows for statistical analysis and easy comparison between data sets
- Can be used to make predictions and forecasts
Disadvantages of Quantitative Classification:
- May not provide a complete picture of the data
- Does not capture subjective or qualitative aspects of the data
Conclusion:
Quantitative classification is an important method for organizing and analyzing data. It is particularly useful for data that can be expressed in numerical terms, and provides precise and accurate information for decision-making. However, it is important to also consider qualitative aspects of the data to get a complete picture of the situation.
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Data classified according to some characteristics that are capable of ...
In quantitative classification data is classified according to some characteristics that are capable of direct measurement such as weight, height, income, marks etc.
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Data classified according to some characteristics that are capable of direct measurement is calleda) quantitative classification.b) qualitative classification.c) chronological classification.d) geographical classification.Correct answer is option 'A'. Can you explain this answer?
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