Lesson 16Estimating Population Proportions

Learning Goal

Let’s estimate population proportions using samples.

Learning Targets

  • I can estimate the proportion of population data that are in a certain category based on a sample.

Lesson Terms

  • interquartile range (IQR)
  • proportion

Warm Up: Getting to School

A teacher asked all the students in one class how many minutes it takes them to get to school. Here is a list of their responses:

  • 20

  • 10

  • 15

  • 8

  • 5

  • 15

  • 10

  • 5

  • 20

  • 5

  • 15

  • 10

  • 3

  • 10

  • 18

  • 5

  • 25

  • 5

  • 5

  • 12

  • 10

  • 30

  • 5

  • 10

Problem 1

What fraction of the students in this class say:

  1. it takes them 5 minutes to get to school?

  2. it takes them more than 10 minutes to get to school?

Problem 2

If the whole school has 720 students, can you use this data to estimate how many of them would say that it takes them more than 10 minutes to get to school?

Be prepared to explain your reasoning.

Activity 1: Reaction Times

The track coach at a high school needs a student whose reaction time is less than 0.4 seconds to help out at track meets. All the twelfth graders in the school measured their reaction times. Your teacher will give you a bag of papers that list their results.

Problem 1

Work with your partner to select a random sample of 20 reaction times, and record them in the table.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Problem 2

What proportion of your sample is less than 0.4 seconds?

Problem 3

Estimate the proportion of all twelfth graders at this school who have a reaction time of less than 0.4 seconds. Explain your reasoning.

Problem 4

There are 120 twelfth graders at this school. Estimate how many of them have a reaction time of less than 0.4 seconds.

Problem 5

Suppose another group in your class comes up with a different estimate than yours for the previous question.

  1. What is another estimate that would be reasonable?

  2. What is an estimate you would consider unreasonable?

Activity 2: A New Comic Book Hero

Problem 1

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.

1

fly

2

freeze

3

freeze

4

fly

5

fly

6

freeze

7

fly

8

super strength

9

freeze

10

fly

11

freeze

12

freeze

13

fly

14

invisibility

15

freeze

16

fly

17

freeze

18

fly

19

super strength

20

freeze

  1. What proportion of this sample want the new hero to have the ability to fly?

  2. If there are 2,024 dedicated readers of The Adventures of Super Sam, estimate the number of readers who want the new hero to fly.

Problem 2

A picture of a cartoon hero.

Two other comic books did a similar survey of their readers.

  • In a survey of people who read Beyond Human, 42 out of 60 people want a new hero to be able to fly.

  • In a survey of people who read Mysterious Planets, 14 out of 40 people want a new hero to be able to fly.

  1. Do you think the proportion of all readers who want a new hero that can fly are nearly the same for the three different comic books? Explain your reasoning.

  2. If you were in charge of these three comics, would you give the ability to fly to any of the new heroes? Explain your reasoning using the proportions you calculated.

Activity 3: Flying to the Shelves

Problem 1

The authors of The Adventures of Super Sam chose 50 different random samples of readers. Each sample was of size 20. They looked at the sample proportions who prefer the new hero to fly.

A dot plot for “sample proportions for The Adventures of Super Sam” with the numbers 0 point 1 through 0 point 55, in increments of zero point zero 5, indicated. The data are as follows:  0 point 1, 3 dots. 0 point 1 5, 3 dots. 0 point 2, 11 dots. 0 point 2 5, 10 dots. 0 point 3, 8 dots. 0 point 3 5, 7 dots. 0 point 4, 4 dots. 0 point 4 5, 2 dots. 0 point 5, 1 dot. 0 point 5 5, 1 dot.
  1. What is a good estimate of the proportion of all readers who want the new hero to be able to fly?

  2. Are most of the sample proportions within 0.1 of your estimate for the population proportion?

  3. If the authors of The Adventures of Super Sam give the new hero the ability to fly, will that please most of the readers? Explain your reasoning.

Problem 2

The authors of the other comic book series created similar dot plots.

A dot plot for sample proportion for Beyond Human. Data ranges from approximately 0.63 to 0.84 with most data between 0.7 and 0.78 (approximately)
A dot plot of sample proportions for Mysterious Planets ranging from 0.3 to 0.7. Data is mostly distributed between 0.38 (approximately) and 0.6.
  1. For each of these series, estimate the proportion of all readers who want the new hero to fly.

    • Beyond Human:

    • Mysterious Planets:

  2. Should the authors of either of these series give their new hero the ability to fly?

  3. Why might it be more difficult for the authors of Mysterious Planets to make the decision than the authors of the other series?

Are you ready for more?

Problem 1

Draw an example of a dot plot with at least 20 dots that represent the sample proportions for different random samples that would indicate that the population proportion is above 0.6, but there is a lot of uncertainty about that estimate.

Lesson Summary

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:

option

number of responses

neither dog nor cat

dog only

cat only

both dog and cat

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 or 0.3. If this sample is representative of all 720 students at the school, we can predict that about 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.