A weighted average is an average among numbers with different weights. Each number has its own weight and, therefore, will affect the weighted average. Try replacing the word weight with the word importance and in this way its meaning will be better understood. The numbers are of different importance. One number is more important and another number is less important. It does not mean a large or small number, but simply important. When a number is more important, it has a greater weight and will have a greater effect on the weighted average.
What is Michael's score if he gets 79 on the first exam and 83 on the second, given that the weight of the first test is 30% and that of the second is 70%?
The hotel's rating is determined by several factors, each with a different weight. Here is the rating for the "Happy Tourist" hotel:
Satisfaction: 50% 4.5
Cleanliness: 30% 4
Customer service: 10% 5
Breakfast: 10% 3
What is the hotel's rating?
Video Solution
Step-by-Step Solution
In order to determine the hotel rating, we will calculate an average.
Let's remember the weighted average formula:
(value A X weight percentage A)+(value B X weight percentage B)...
First, let's add up all the percentages:
50%+30%+10%+10%=100%
Now we'll multiply each factor by its weight percentage, convert the percentages to decimal numbers, and add them as follows:
4.5×0.5+4×0.3+5×0.1+3×0.1=
Let's first solve the multiplication exercises:
2.25+1.2+0.5+0.3=
We'll add them up and get: 4.25 and that's the hotel rating
Answer
4.25
Exercise #2
What is Michael's score if he gets 79 on the first exam and 83 on the second, given that the weight of the first test is 30% and that of the second is 70%?
Step-by-Step Solution
To solve the weighted average, we will use the following formula:
exam 2 * weight of evaluation 2 + exam 1 *weight of the evaluation 1 = Weighted average
We will place the data in the formula, where the weights will be in decimal numbers:
0.3*79 + 0.7*83 = 23.7+58.1 =
81.8
Answer
81.8
Exercise #3
A number of hotels are ranked based on various factors, each with a different weight.
This is the rating and weights for the hotel "The Swan Inn":