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Bowley’s Coefficient of Skewness, Business Mathematics & Statistics Video Lecture - CA Foundation
FAQs on Bowley’s Coefficient of Skewness, Business Mathematics & Statistics Video Lecture - CA Foundation
| 1. What is Bowley's Coefficient of Skewness? |  |
Ans. Bowley's Coefficient of Skewness is a measure of the asymmetry of a distribution. It is calculated by dividing the difference between the first and third quartiles by the interquartile range.
| 2. How is Bowley's Coefficient of Skewness different from Pearson's Coefficient of Skewness? | |
Ans. Bowley's Coefficient of Skewness uses quartiles to calculate skewness, while Pearson's Coefficient of Skewness uses the mean and standard deviation. Bowley's method is less affected by outliers in the data.
| 3. How can Bowley's Coefficient of Skewness help in analyzing business data? | |
Ans. Bowley's Coefficient of Skewness can provide insights into the distribution of data in a business context. It can help identify if the data is skewed to the left or right, which can impact decision-making processes.
| 4. How do you interpret the value of Bowley's Coefficient of Skewness? | |
Ans. If Bowley's Coefficient of Skewness is positive, the data is skewed to the right. If it is negative, the data is skewed to the left. A value of zero indicates a symmetric distribution.
| 5. Can Bowley's Coefficient of Skewness be used in financial analysis? | |
Ans. Yes, Bowley's Coefficient of Skewness can be useful in financial analysis to understand the distribution of financial data such as stock returns or sales figures. It can help in identifying patterns or outliers in the data that may impact investment decisions.
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Dec 18, 2024 Last updated |
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