/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 20 Find the weighted average of a d... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Find the weighted average of a data set where 10 has a weight of \(5 ; 20\) has a weight of \(3 ; 30\) has a weight of 2

Short Answer

Expert verified
The weighted average is 17.

Step by step solution

01

Multiply each item by its weight

First, you need to multiply each number in the dataset by its corresponding weight. - Multiply 10 by 5 to get 50. - Multiply 20 by 3 to get 60. - Multiply 30 by 2 to get 60.
02

Sum the weighted results

Next, sum the results from the previous step to get the total weighted sum. Add 50, 60, and 60 together to get 170.
03

Sum the weights

Calculate the total of the weights by adding them together. Add 5, 3, and 2 to get a total weight of 10.
04

Calculate the weighted average

Divide the total weighted sum by the total weight to find the weighted average. This is calculated as \(\frac{170}{10} = 17\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding a Data Set
A data set is a collection of numbers or values that you want to analyze. In this particular exercise, our data set includes the numbers 10, 20, and 30. Each of these numbers, or data points, has been assigned a specific weight. This weight represents the importance or frequency of each data point compared to others in the set.

For this exercise:
  • Number 10 has a weight of 5.
  • Number 20 has a weight of 3.
  • Number 30 has a weight of 2.
The concept of assigning weights is crucial when certain numbers carry more significance than others, which influences the calculation of the weighted average.
The Role of Weighted Sum
The weighted sum forms an essential part of calculating a weighted average. It is determined by multiplying each data point by its respective weight and then adding these products together. This step ensures that each number's contribution to the final average reflects its assigned weight.

Here's how we calculate the weighted sum in our example:
  • Multiply 10 by its weight, 5, which gives 50.
  • Multiply 20 by its weight, 3, resulting in 60.
  • Multiply 30 by its weight, 2, also resulting in 60.
By summing these products (50 + 60 + 60), we obtain the total weighted sum, which is 170. The weighted sum highlights the accumulation of each data point's influence according to its weight.
Calculation Steps to Find Weighted Average
Each calculation step helps us compute the weighted average effectively.Let's go through these steps:
  • Step 1: Calculate each number's product with its weight. We've already done this. Remember, for 10, 20, and 30, the products are 50, 60, and 60, respectively.
  • Step 2: Compute the weighted sum. This is the sum of the products, which we've found to be 170.
  • Step 3: Total the weights. Add up the weights, 5 + 3 + 2, which equals 10.
  • Step 4: Divide to find the weighted average. Divide the total weighted sum by the total of the weights: \[\frac{170}{10} = 17\] This division gives us the weighted average.
Each step in this method offers a clear path to understanding the weight each data point contributes, ensuring that the weighted average reflects the significance of each value in our set.

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Most popular questions from this chapter

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