SSC CGL Exam > SSC CGL Videos > Quantitative Aptitude for SSC CGL > Introduction to Statistics and Basics of Mean, Median & Mode
Introduction to Statistics and Basics of Mean, Median & Mode Video Lecture | Quantitative Aptitude for SSC CGL
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FAQs on Introduction to Statistics and Basics of Mean, Median & Mode Video Lecture - Quantitative Aptitude for SSC CGL
| 1. What is the difference between mean, median, and mode? |  |
Ans. Mean is the average of a set of numbers, calculated by adding all the numbers together and dividing by the total count. Median is the middle number in a sorted list of numbers. Mode is the number that appears most frequently in a set of numbers.
| 2. How are mean, median, and mode used in statistics? | |
Ans. Mean, median, and mode are used to describe the central tendency of a data set. They help to summarize the data and provide insights into the typical value or values within the set.
| 3. When should I use mean, median, or mode to analyze data? | |
Ans. Mean is usually used when the data set is normally distributed and does not have extreme values. Median is preferred when the data set has outliers or extreme values that may skew the average. Mode is used when looking for the most common value in the data.
| 4. Can mean, median, and mode be the same value in a data set? | |
Ans. Yes, it is possible for the mean, median, and mode to be the same value in a data set. This occurs when the data is symmetrically distributed, with no outliers or extreme values.
| 5. How do outliers affect the calculations of mean, median, and mode? | |
Ans. Outliers can significantly impact the mean, pulling it towards the extreme value. However, outliers have minimal effect on the median and mode, making them more robust measures of central tendency in the presence of outliers.
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Nov 22, 2024 Last updated |
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