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Central Tendency Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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00:11 Meaning of Dispersion
02:06 Examples of Dispersion in details
04:58 Objectives of measurement of Dispersion
08:18 Characteristics of Dispersion
09:51 Two measures of Dispersion
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FAQs on Central Tendency Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is central tendency?
Ans. Central tendency refers to a statistical measure that determines the center or average of a distribution of values. It provides a single value that best represents the entire data set.
2. What are the common measures of central tendency?
Ans. The common measures of central tendency are mean, median, and mode. The mean is the arithmetic average, the median is the middle value when the data is arranged in ascending or descending order, and the mode is the value that appears most frequently in the data set.
3. How is the mean calculated?
Ans. The mean is calculated by summing up all the values in the data set and then dividing it by the total number of values. It is represented by the formula: mean = (sum of all values) / (total number of values).
4. When is the median a better measure of central tendency than the mean?
Ans. The median is a better measure of central tendency than the mean when the data set has extreme values or outliers that can significantly influence the mean. In such cases, the median provides a more robust estimate of the "typical" value in the data set.
5. How is the mode useful in analyzing data?
Ans. The mode is useful in analyzing data as it helps identify the most frequently occurring value or values in a data set. It is particularly helpful in categorical or nominal data, where identifying the mode can provide insights into the most common category or attribute.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:11 Meaning of Dispersion
02:06 Examples of Dispersion in details
04:58 Objectives of measurement of Dispersion
08:18 Characteristics of Dispersion
09:51 Two measures of Dispersion
More
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