In research, especially in social work research, the analysis and interpretation of data play a crucial role in understanding social problems and developing effective interventions. One of the fundamental aspects of statistical analysis is the use of measures of central tendency. Measures of central tendency refer to statistical techniques that help researchers identify the central or typical value in a dataset. These measures summarize a large set of observations into a single value that represents the center of the distribution. In social work research, measures of central tendency are widely used to interpret survey data, demographic information, and behavioral patterns of individuals or communities. The most commonly used measures of central tendency are mean, median, and mode. The mean is the most widely used measure of central tendency. It is commonly referred to as the arithmetic average. The mean is calculated by adding together all the values in a dataset and dividing the total by the number of observations. This measure provides a general idea of the overall level of a variable in the dataset. In social work research, the mean is useful when researchers want to understand the average condition or behavior of a group. For example, if a researcher studies the average income of families in a community affected by poverty, the mean income can provide a general picture of the economic condition of that community. The formula for calculating the mean is the sum of all values divided by the number of values. Although the mean is simple and widely used, it is highly sensitive to extreme values or outliers. If there are very large or very small values in the dataset, the mean may give a misleading representation of the central tendency. Another important measure of central tendency is the median. The median refers to the middle value in