er Sample 1. To identify the most popular sport of people who live in a city, a computer is used to randomly select an equal number of people from different parts of the city. 2. The first 5 numbers called in a BINGO game are selected by drawing balls from a rotating bin in which all the numbers have been

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**Title: Understanding Different Sampling Methods in Research**

**Introduction:**
In research, choosing the appropriate sampling method is crucial for obtaining accurate and representative results. Each method has its unique approach and is suited for different types of data collection scenarios. Below, we identify various sampling methods through practical examples to enhance understanding.

**Sampling Methods and Examples:**

1. **Cluster Sample:**
   *Example Scenario:*
   A computer is used to randomly select an equal number of people from different parts of a city to identify the most popular sport.
   - In this scenario, the population is divided into clusters (different parts of the city), and a random sample is drawn from each cluster.

2. **Simple Random Sample:**
   *Example Scenario:*
   The first 5 numbers called in a BINGO game are selected by drawing balls from a rotating bin in which all the numbers have been placed.
   - Here, each member of the population (BINGO numbers) has an equal chance of being selected, showcasing a simple random sampling approach.

3. **Systematic Sample:**
   *Example Scenario:*
   The student council at a local high school is collecting data to determine the top ten favorite songs of the students. They interview every second student who arrives at school on Monday morning.
   - This involves selecting every nth individual from a list, which is characteristic of a systematic sampling method.

4. **Convenience Sample:**
   *Example Scenario:*
   A researcher surveys high school students in his city by interviewing the first 20 students who enter the building.
   - In this scenario, the sample is taken from a group that is conveniently available to participate, demonstrating a convenience sampling method.

By understanding these examples, researchers can better choose the right sampling method for their studies, ensuring that their findings are reliable and generalizable to their target population.

**Conclusion:**
Each sampling method has its strengths and limitations. By carefully considering the purpose of the study and the nature of the population, researchers can select the most appropriate method to gather relevant and accurate data.
Transcribed Image Text:**Title: Understanding Different Sampling Methods in Research** **Introduction:** In research, choosing the appropriate sampling method is crucial for obtaining accurate and representative results. Each method has its unique approach and is suited for different types of data collection scenarios. Below, we identify various sampling methods through practical examples to enhance understanding. **Sampling Methods and Examples:** 1. **Cluster Sample:** *Example Scenario:* A computer is used to randomly select an equal number of people from different parts of a city to identify the most popular sport. - In this scenario, the population is divided into clusters (different parts of the city), and a random sample is drawn from each cluster. 2. **Simple Random Sample:** *Example Scenario:* The first 5 numbers called in a BINGO game are selected by drawing balls from a rotating bin in which all the numbers have been placed. - Here, each member of the population (BINGO numbers) has an equal chance of being selected, showcasing a simple random sampling approach. 3. **Systematic Sample:** *Example Scenario:* The student council at a local high school is collecting data to determine the top ten favorite songs of the students. They interview every second student who arrives at school on Monday morning. - This involves selecting every nth individual from a list, which is characteristic of a systematic sampling method. 4. **Convenience Sample:** *Example Scenario:* A researcher surveys high school students in his city by interviewing the first 20 students who enter the building. - In this scenario, the sample is taken from a group that is conveniently available to participate, demonstrating a convenience sampling method. By understanding these examples, researchers can better choose the right sampling method for their studies, ensuring that their findings are reliable and generalizable to their target population. **Conclusion:** Each sampling method has its strengths and limitations. By carefully considering the purpose of the study and the nature of the population, researchers can select the most appropriate method to gather relevant and accurate data.
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