A real estate company is interested in the ages of home buyers. They examined the ages of thousands of home buyers and found that the mean age was 45 years old, with a standard deviation of 11 years. Suppose that these measures are valid for the population of all home buyers. Complete the following statements about the distribution of all ages of home buyers. (a) According to Chebyshev's theorem, at least 56% of the home buyers' ages lie between years and years. (Round your answer to the nearest whole number.) (b) According to Chebyshev's theorem, at least (Choose one) of the home buyers' ages lie between 23 years and 67 years.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
### Exploring the Age Distribution of Home Buyers: An Application of Chebyshev's Theorem

A real estate company is interested in the ages of home buyers. They examined the ages of thousands of home buyers and found that the mean age was 45 years old, with a standard deviation of 11 years. Suppose that these measures are valid for the population of all home buyers. Complete the following statements about the distribution of all ages of home buyers.

1. According to Chebyshev's theorem, at least 56% of the home buyers' ages lie between [ ] years and [ ] years. (Round your answer to the nearest whole number.)
   
2. According to Chebyshev's theorem, at least (Choose one) of the home buyers' ages lie between 23 years and 67 years.

#### Details on the use of Chebyshev's Theorem:

Chebyshev's theorem provides a way to determine the minimum proportion of values that lie within a certain number of standard deviations from the mean in any dataset, regardless of how the data is distributed. The theorem states:

\[ \text{Proportion} \geq 1 - \frac{1}{k^2} \]

where \( k \) is the number of standard deviations from the mean.

In this example, apply the theorem to learn more about the age distribution of home buyers. 

#### Example Calculations:

- For question (a), determine the range of ages that contains at least 56% of the data using Chebyshev's inequality.
- For question (b), select the appropriate percentage to describe the distribution of ages between 23 and 67 years.

By understanding these calculations, you can better grasp the dispersion and variability in the age of home buyers based on the given mean and standard deviation.
Transcribed Image Text:### Exploring the Age Distribution of Home Buyers: An Application of Chebyshev's Theorem A real estate company is interested in the ages of home buyers. They examined the ages of thousands of home buyers and found that the mean age was 45 years old, with a standard deviation of 11 years. Suppose that these measures are valid for the population of all home buyers. Complete the following statements about the distribution of all ages of home buyers. 1. According to Chebyshev's theorem, at least 56% of the home buyers' ages lie between [ ] years and [ ] years. (Round your answer to the nearest whole number.) 2. According to Chebyshev's theorem, at least (Choose one) of the home buyers' ages lie between 23 years and 67 years. #### Details on the use of Chebyshev's Theorem: Chebyshev's theorem provides a way to determine the minimum proportion of values that lie within a certain number of standard deviations from the mean in any dataset, regardless of how the data is distributed. The theorem states: \[ \text{Proportion} \geq 1 - \frac{1}{k^2} \] where \( k \) is the number of standard deviations from the mean. In this example, apply the theorem to learn more about the age distribution of home buyers. #### Example Calculations: - For question (a), determine the range of ages that contains at least 56% of the data using Chebyshev's inequality. - For question (b), select the appropriate percentage to describe the distribution of ages between 23 and 67 years. By understanding these calculations, you can better grasp the dispersion and variability in the age of home buyers based on the given mean and standard deviation.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 6 steps with 10 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman