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Mean, Median, Mode and Range Video Lecture | Mathematics (Maths) Class 7 (Old NCERT)
FAQs on Mean, Median, Mode and Range Video Lecture - Mathematics (Maths) Class 7 (Old NCERT)
| 1. What is the difference between mean, median, and mode? |  |
Ans. The mean is the average of a set of numbers, calculated by adding all the numbers together and dividing by the total count. The median is the middle value when the numbers are arranged in ascending order. If there is an even number of values, the median is the average of the two middle numbers. The mode is the number that appears most frequently in the data set.
| 2. How do you calculate the range of a data set? | |
Ans. The range is calculated by subtracting the smallest number in the data set from the largest number. For example, if the data set is {3, 5, 1, 8}, the range would be 8 - 1 = 7.
| 3. When should I use mean, median, or mode? | |
Ans. Use the mean when you want a general average of the data, especially for normally distributed data. Use the median when dealing with skewed data or outliers, as it better represents the central tendency in such cases. Use the mode when you want to identify the most common value in the data set, which is particularly useful for categorical data.
| 4. Can a data set have more than one mode? | |
Ans. Yes, a data set can have more than one mode. When there are two modes, it is called bimodal, and if there are more than two modes, it is referred to as multimodal. This occurs when multiple values appear with the same highest frequency.
| 5. How can outliers affect the mean and median? | |
Ans. Outliers can significantly affect the mean, as they can skew the average upward or downward, depending on their value. The median, however, is less affected by outliers, as it only depends on the middle values of a sorted data set. This makes the median a more robust measure of central tendency in the presence of outliers.
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Video Description: Mean, Median, Mode and Range for Class 7 2025 is part of Mathematics (Maths) Class 7 (Old NCERT) preparation.
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