Central Tendency and Variation

• Central Tendency and Variation are key concepts in data analysis and interpretation.
• Central tendency refers to the central value of a dataset, represented by measures like mean, median, and mode.
• Mean is calculated by dividing the total value of data points by the number of data points.
• Median is the value that divides the dataset into two equal halves.
• Mode is the value that appears most frequently in the dataset.
• Variation describes the dispersion of data points in a dataset.
• Measures of variation include range, interquartile range, and standard deviation.
• Range is the difference between the highest and lowest dataset values.
• Interquartile range is the difference between the 75th and 25th percentiles.
• Standard deviation measures the average distance of data points from the mean.
• Understanding of central tendency and variation is crucial for proper dataset representation and conclusion drawing.