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Arithmetic Mean- 2 Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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Video Timeline
Video Timeline
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00:11 In case of Cumulative Frequency Distribution (with solution)
03:32 In case of Mid-Value series (with solution)
05:08 In case of Inclusive series (with solution)
08:11 In case of open ended Class Intervals (with solution)
10:36 In case of Unequal Class-Intervals (with solution)
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FAQs on Arithmetic Mean- 2 Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is the arithmetic mean?
Ans. The arithmetic mean is a measure of central tendency that is calculated by adding up all the values in a set of numbers and then dividing the sum by the total number of values.
2. How is the arithmetic mean calculated?
Ans. The arithmetic mean is calculated by adding up all the numbers in a set and then dividing the sum by the total count of numbers in the set. For example, if we have the numbers 2, 4, 6, and 8, the arithmetic mean would be (2 + 4 + 6 + 8) / 4 = 5.
3. What is the significance of the arithmetic mean?
Ans. The arithmetic mean is a commonly used statistic that provides a representative value for a set of numbers. It helps to summarize the data and provides a measure of the central tendency of the data set.
4. Can the arithmetic mean be affected by outliers?
Ans. Yes, the arithmetic mean can be affected by outliers. Outliers are extreme values that are significantly different from the other values in the set. If a data set contains outliers, the arithmetic mean can be pulled towards the outlier value, impacting its accuracy as a measure of central tendency.
5. How is the arithmetic mean used in real-life scenarios?
Ans. The arithmetic mean is used in various real-life scenarios, such as calculating the average score of a student in a class, calculating the average temperature for a month, or determining the average sales for a business. It helps in providing a single representative value for a set of data, making it easier to analyze and interpret.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:11 In case of Cumulative Frequency Distribution (with solution)
03:32 In case of Mid-Value series (with solution)
05:08 In case of Inclusive series (with solution)
08:11 In case of open ended Class Intervals (with solution)
10:36 In case of Unequal Class-Intervals (with solution)
More
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