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FOR ONLINE TUITION CONTACT ME AT 7009509669 Chapter 21: Measure of Central Tendency Introduction to Central Tendency: Definition of central tendency. Understanding the need for measures of central tendency. Mean: Calculation of the mean (arithmetic mean or average) for a set of data. Understanding the formula for finding the mean. Median: Definition and calculation of the median. Identifying the median for both grouped and ungrouped data. Mode: Definition and calculation of the mode. Identifying the mode for both grouped and ungrouped data. Comparison of Mean, Median, and Mode: Understanding when to use mean, median, or mode in different situations. Comparing the strengths and weaknesses of these measures. Grouped Data: Finding the mean, median, and mode for data grouped into intervals. Understanding the concept of frequency. Applications in Real-life Scenarios: Practical applications of measures of central tendency. Analyzing data sets in real-world situations. Weighted Mean (if applicable): Introduction to weighted mean and its calculation. Empirical Relation among Mean, Median, and Mode: Understanding the empirical relationship among mean, median, and mode for different types of distributions. Measures of Central Tendency for Bivariate Data (if applicable): Calculating measures of central tendency for bivariate data. Summary and Revision: Recapitulation of key concepts covered in the chapter. FOR ONLINE TUITION CONTACT ME AT 7009509669 THANKS FOR YOUR SUPPORT AND HELP LIKE SUBSCRIBE AND SHARE FOR MORE UPDATES @jindalmathspoint