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The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s?
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The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 ...
Understanding Range of Data
The range of a set of data is a measure of the spread or dispersion of the values. It is calculated by subtracting the smallest value from the largest value in the dataset.
Step-by-Step Calculation of Range
1. Identify the Maximum Value
- The maximum value in the dataset is 32.
2. Identify the Minimum Value
- The minimum value in the dataset is 6.
3. Calculate the Range
- Use the formula:
Range = Maximum Value - Minimum Value
- Substitute the values:
Range = 32 - 6 = 26
Summary of the Data
- Data Set: 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8, 30, 20, 20
- Maximum Value: 32
- Minimum Value: 6
- Calculated Range: 26
Importance of Range
- Understanding Distribution
- The range provides insight into how spread out the values are. A larger range indicates a wider spread.
- Identifying Outliers
- It helps identify outliers or extreme values in the dataset, which can affect analysis.
- Comparative Analysis
- The range can be used to compare the variability of different datasets.
Conclusion
In this dataset, the range of 26 indicates a significant spread between the smallest and largest values, which is essential for understanding the overall data distribution.
The range of a set of data is a measure of the spread or dispersion of the values. It is calculated by subtracting the smallest value from the largest value in the dataset.
Step-by-Step Calculation of Range
1. Identify the Maximum Value
- The maximum value in the dataset is 32.
2. Identify the Minimum Value
- The minimum value in the dataset is 6.
3. Calculate the Range
- Use the formula:
Range = Maximum Value - Minimum Value
- Substitute the values:
Range = 32 - 6 = 26
Summary of the Data
- Data Set: 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8, 30, 20, 20
- Maximum Value: 32
- Minimum Value: 6
- Calculated Range: 26
Importance of Range
- Understanding Distribution
- The range provides insight into how spread out the values are. A larger range indicates a wider spread.
- Identifying Outliers
- It helps identify outliers or extreme values in the dataset, which can affect analysis.
- Comparative Analysis
- The range can be used to compare the variability of different datasets.
Conclusion
In this dataset, the range of 26 indicates a significant spread between the smallest and largest values, which is essential for understanding the overall data distribution.
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The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s?
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The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s? for Class 9 2024 is part of Class 9 preparation. The Question and answers have been prepared according to the Class 9 exam syllabus. Information about The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s? covers all topics & solutions for Class 9 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s?.
The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s? for Class 9 2024 is part of Class 9 preparation. The Question and answers have been prepared according to the Class 9 exam syllabus. Information about The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s? covers all topics & solutions for Class 9 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The range of data : 12, 25, 15, 18, 17, 32, 22, 6, 16, 11, 8 , 30, 20 , 20 8s?.
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