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Median of Grouped Data Statistics - Maths Class 10

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FAQs on Median of Grouped Data Statistics - Maths Class 10

1. What is the concept of median in grouped data?
Ans. The concept of median in grouped data refers to finding the value that divides the data into two equal halves. In grouped data, the median is the value that lies in the middle of the data when arranged in ascending or descending order. It is often used to represent the central tendency of the data.
2. How is the median calculated for grouped data?
Ans. To calculate the median for grouped data, the following steps can be followed: 1. Determine the cumulative frequency of each class interval. 2. Find the class interval that contains the median value. 3. Use the formula: Median = L + ((N/2 - CF) * h)/f - L: Lower limit of the median class - N: Total frequency - CF: Cumulative frequency of the class before the median class - h: Class width - f: Frequency of the median class
3. How is the median affected by outliers in grouped data?
Ans. Outliers in grouped data can significantly affect the median. If there are extreme values present in the data, they can pull the median towards them, resulting in a distorted representation of the central tendency. It is important to identify and handle outliers appropriately to ensure the accuracy of the median.
4. Can the median be calculated for qualitative data in grouped form?
Ans. Yes, the median can be calculated for qualitative data in grouped form. In this case, the classes represent different categories rather than numerical values. The median is determined by finding the class interval that contains the middle value and applying the formula mentioned earlier using the respective frequencies.
5. What is the significance of the median in analyzing grouped data?
Ans. The median is significant in analyzing grouped data as it provides a measure of central tendency that is less affected by extreme values or outliers compared to the mean. It gives a better representation of the typical value in the data set. The median is commonly used in various fields such as statistics, economics, and social sciences to understand and interpret data accurately.
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