The assets (in billions of dollars) of the four wealthiest people in a particular country are 39, 28, 22, 13. Assume that samples of sizen=2 are randomly selected with replacement from this population of four values.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
icon
Related questions
Topic Video
Question
### Sampling Distribution: An Educational Guide

#### Understanding the Problem Statement
Let's delve into a statistical problem involving the assets of the four wealthiest individuals in a country. The assets, in billions of dollars, are as follows:
- 39
- 28
- 22
- 13

We are assuming that samples of size \( n = 2 \) are randomly selected with replacement from this set of four values.

#### Constructing the Sampling Distribution
To create the sampling distribution of the sample mean, we must first identify all 16 possible samples and calculate the mean for each. These values are then grouped, and their corresponding probabilities are determined.

#### The Table of Sample Means
Below is the table constructed from the problem:

| \( \bar{x} \) | Probability |   | \( \bar{x} \) | Probability |
|---------------|-------------|---|---------------|-------------|
| 39            |             |   | 25            |             |
| 33.5          |             |   | 22            |             |
| 30.5          |             |   | 20.5          |             |
| 28            |             |   | 17.5          |             |
| 26            |             |   | 13            |             |

**Note:** Fill in the probabilities as integers or fractions as specified in the problem.

#### Explanation
Here is a detailed explanation of what is expected in each step of the process:

1. **Identify Possible Samples:**
   Each sample is of size 2 and is selected with replacement. This results in a total of \( 4 \times 4 = 16 \) possible samples since each of the four assets can pair with any other, including itself.
   
2. **Calculate the Mean:**
   For each sample, compute the sample mean (\( \bar{x} \)). For example, if the sample is (39, 22), the mean is \( \frac{39 + 22}{2} = 30.5 \).

3. **Count Occurrences:**
   Determine how frequently each unique sample mean occurs among all possible samples.

4. **Determine Probabilities:**
   The probability of each unique sample mean is derived by dividing its frequency by the total number of samples (16).

This method provides a comprehensive approach to understanding how sample means distribute when drawn from a small, finite population. By working these steps, one gains
Transcribed Image Text:### Sampling Distribution: An Educational Guide #### Understanding the Problem Statement Let's delve into a statistical problem involving the assets of the four wealthiest individuals in a country. The assets, in billions of dollars, are as follows: - 39 - 28 - 22 - 13 We are assuming that samples of size \( n = 2 \) are randomly selected with replacement from this set of four values. #### Constructing the Sampling Distribution To create the sampling distribution of the sample mean, we must first identify all 16 possible samples and calculate the mean for each. These values are then grouped, and their corresponding probabilities are determined. #### The Table of Sample Means Below is the table constructed from the problem: | \( \bar{x} \) | Probability | | \( \bar{x} \) | Probability | |---------------|-------------|---|---------------|-------------| | 39 | | | 25 | | | 33.5 | | | 22 | | | 30.5 | | | 20.5 | | | 28 | | | 17.5 | | | 26 | | | 13 | | **Note:** Fill in the probabilities as integers or fractions as specified in the problem. #### Explanation Here is a detailed explanation of what is expected in each step of the process: 1. **Identify Possible Samples:** Each sample is of size 2 and is selected with replacement. This results in a total of \( 4 \times 4 = 16 \) possible samples since each of the four assets can pair with any other, including itself. 2. **Calculate the Mean:** For each sample, compute the sample mean (\( \bar{x} \)). For example, if the sample is (39, 22), the mean is \( \frac{39 + 22}{2} = 30.5 \). 3. **Count Occurrences:** Determine how frequently each unique sample mean occurs among all possible samples. 4. **Determine Probabilities:** The probability of each unique sample mean is derived by dividing its frequency by the total number of samples (16). This method provides a comprehensive approach to understanding how sample means distribute when drawn from a small, finite population. By working these steps, one gains
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Discrete Probability Distributions
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.
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax
College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL