SSC CGL Exam > SSC CGL Videos > Quantitative Aptitude for SSC CGL > Tips & Tricks: Averages
Tips & Tricks: Averages Video Lecture | Quantitative Aptitude for SSC CGL
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FAQs on Tips & Tricks: Averages Video Lecture - Quantitative Aptitude for SSC CGL
| 1. What is the definition of an average? |  |
Ans. An average is a measure used to represent a group of data by calculating the central value that provides a general sense of the data's characteristics. It is typically calculated by summing all the values in a dataset and dividing the sum by the total number of values.
| 2. What are the different types of averages? | |
Ans. There are several types of averages commonly used, including the mean, median, and mode. The mean is calculated by summing all the values and dividing by the total number of values. The median is the middle value when the data is arranged in ascending or descending order. The mode is the value that appears most frequently in the dataset.
| 3. How is the mean average calculated? | |
Ans. The mean average is calculated by summing all the values in a dataset and dividing the sum by the total number of values. For example, if we have a dataset of {5, 10, 15, 20}, we would sum all the values (5 + 10 + 15 + 20 = 50) and divide by the total number of values (4), resulting in a mean average of 12.5.
| 4. When should the median average be used instead of the mean? | |
Ans. The median average is often used instead of the mean when there are outliers or extreme values in the dataset. Outliers can significantly affect the mean average, making it a less representative measure of the central tendency of the data. In such cases, the median provides a better indication of the typical value since it is not influenced by outliers.
| 5. How is the mode average useful in data analysis? | |
Ans. The mode average is useful in data analysis as it helps identify the most frequent value(s) in a dataset. It is particularly helpful when dealing with categorical or discrete data, such as survey responses or types of products sold. By identifying the mode, analysts can gain insights into patterns and preferences within the data.
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Nov 24, 2024 Last updated |
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