Final answer:
Weighted mean is a measure of central tendency that takes into account the importance or weight of different values in a dataset. It is calculated by multiplying each value by its weight, summing these products, and dividing the sum by the total weight.
Step-by-step explanation:
The subject of the question is Weighted Mean. Weighted mean is a measure of central tendency that takes into account the importance or weight of different values in a dataset. It is calculated by multiplying each value by its weight, summing these products, and dividing the sum by the total weight.
For example, let's say we have a dataset of students' scores on two exams, with Exam 1 having a weight of 0.6 and Exam 2 having a weight of 0.4. To calculate the weighted mean, we multiply each score by its corresponding weight, sum the products, and divide by the total weight.
Weighted Mean = (Score1 * Weight1 + Score2 * Weight2 + ... + ScoreN * WeightN) / (Weight1 + Weight2 + ... + WeightN)