CA Foundation Exam > CA Foundation Videos > Quantitative Aptitude for CA Foundation > Measures of Central Tendency
Measures of Central Tendency Video Lecture | Quantitative Aptitude for CA Foundation
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FAQs on Measures of Central Tendency Video Lecture - Quantitative Aptitude for CA Foundation
| 1. What are the measures of central tendency in statistics? |  |
The measures of central tendency in statistics are numerical values that represent the center or average of a set of data. The most common measures of central tendency are the mean, median, and mode.
| 2. How is the mean calculated? | |
The mean is calculated by summing up all the values in a dataset and then dividing the sum by the number of values. It is also referred to as the average.
| 3. How is the median calculated? | |
The median is calculated by arranging the values in a dataset in ascending order and then finding the middle value. If there are an odd number of values, the middle value is the median. If there are an even number of values, the median is the average of the two middle values.
| 4. What is the mode in statistics? | |
The mode is the value(s) that appear most frequently in a dataset. It is the only measure of central tendency that can be used for categorical data.
| 5. When should I use the mean, median, or mode? | |
The choice of which measure of central tendency to use depends on the characteristics of the dataset and the specific question being addressed. The mean is appropriate for symmetrically distributed data without outliers. The median is useful when there are outliers or the data is skewed. The mode is suitable for identifying the most common value(s) in a dataset.
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Nov 21, 2024 Last updated |
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