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Measures of Central Tendency Video Lecture | Mathematics (Maths) for JEE Main & Advanced

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FAQs on Measures of Central Tendency Video Lecture - Mathematics (Maths) for JEE Main & Advanced

1. What are the three main measures of central tendency in statistics?
Ans. The three main measures of central tendency in statistics are the mean, median, and mode. These measures help to summarize the data and provide insights into the center of the distribution.
2. How is the mean calculated and what does it indicate in a data set?
Ans. The mean is calculated by adding up all the values in a data set and then dividing by the total number of values. It is a measure of the average value in the data set and is affected by extreme values, also known as outliers.
3. 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 contains outliers or extreme values. The median is not influenced by outliers, making it a more robust measure in such cases.
4. How is the mode determined in a data set and what does it represent?
Ans. The mode is the value that appears most frequently in a data set. It represents the most common value in the data and is particularly useful for categorical data where specific values are repeated.
5. Can a data set have more than one mode?
Ans. Yes, a data set can have more than one mode if multiple values have the same highest frequency of occurrence. In such cases, the data set is considered to be multimodal.
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