Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 55 bank accounts, we want to take a random sample of six accounts in order to learn about the population. How many different random samples of six accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 55 bank accounts, we want to take a random sample of six accounts in order to learn about the population. How many different random samples of six accounts are possible?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![**Simple Random Sampling in Statistics**
In statistics, **simple random sampling** involves selecting a subset of individuals from a larger population. The sample size (n) is drawn from a population of size (N). The objective is to obtain data that can be used to make inferences about the characteristics of the entire population.
**Example Scenario:**
Consider a population of 55 bank accounts. Our goal is to take a random sample of six (6) accounts to study the population characteristics.
**Question:**
How many different random samples of six accounts can be possible from this population?
---
**Solution:**
To determine the number of different possible samples, we use the **combination formula**:
\[ \binom{N}{n} = \frac{N!}{n!(N-n)!} \]
In this scenario:
- \( N = 55 \)
- \( n = 6 \)
Plugging in the values, we calculate:
\[ \binom{55}{6} = \frac{55!}{6!(55-6)!} = \frac{55!}{6! \cdot 49!} \]
By calculating this value, we obtain the number of different possible random samples of six accounts that can be selected from a population of 55 bank accounts.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcd08fd21-7e2f-4214-9769-d352731fcd2d%2F83ac38db-058c-424e-ae06-fb512d6f651e%2Fx4an1h_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Simple Random Sampling in Statistics**
In statistics, **simple random sampling** involves selecting a subset of individuals from a larger population. The sample size (n) is drawn from a population of size (N). The objective is to obtain data that can be used to make inferences about the characteristics of the entire population.
**Example Scenario:**
Consider a population of 55 bank accounts. Our goal is to take a random sample of six (6) accounts to study the population characteristics.
**Question:**
How many different random samples of six accounts can be possible from this population?
---
**Solution:**
To determine the number of different possible samples, we use the **combination formula**:
\[ \binom{N}{n} = \frac{N!}{n!(N-n)!} \]
In this scenario:
- \( N = 55 \)
- \( n = 6 \)
Plugging in the values, we calculate:
\[ \binom{55}{6} = \frac{55!}{6!(55-6)!} = \frac{55!}{6! \cdot 49!} \]
By calculating this value, we obtain the number of different possible random samples of six accounts that can be selected from a population of 55 bank accounts.
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