Learning Targets
Sometimes a data set consists of information that fits into specific categories. For example, we could survey students about whether they have a pet cat or dog. The categories for these data would be {neither, dog only, cat only, both}. Suppose we surveyed 10 students. Here is a table showing possible results:
In this sample, 3 of the students said they have both a dog and a cat. We can say that the proportion of these students who have a both a dog and a cat is 3/10 or 0.3. If this sample is representative of all 720 students at the school, we can predict that about 3/10 of 720, or about 216 students at the school have both a dog and a cat.
In general, a proportion is a number from 0 to 1 that represents the fraction of the data that belongs to a given category.
proportion
A proportion of a data set is the fraction of the data in a given category.
For example, a class has 18 students. There are 2 left-handed students and 16 right-handed students in the class. The proportion of students who are left-handed is 2/20, or 0.1.
A teacher asked all the students in one class how many minutes it takes them to get to school. Here is a table of their responses.
Here are the results of a survey of 20 people who read The Adventures of Super Sam regarding what special ability they think the new hero should have.
Two other comic books did a similar survey of their readers.
A chemical engineer is trying to increase the amount of the useful product in a reaction. She performs the reaction with her new equipment 10 times and gets the following amounts of the useful product.
When using data, what is a proportion? How is it calculated?
In order to say that more than half of the people in a sample responded with a certain answer, what would the proportion for that answer be?
A random sample indicates that a 0.45 proportion of people shopping at a certain store prefer wheat bread to white bread. The store has 3,000 customers. Estimate the number of people shopping at the store who prefer wheat bread.