How to Perform Simple Random Sampling
Define the Population: Clearly identify the entire group from which you want to draw a sample.
Assign Numbers: Assign a unique number to each member of the population.
Use a Random Method: Select members using a random method, such as:
Random Number Generator: Use software or a calculator to generate random numbers corresponding to the assigned numbers.
Lottery Method: Write numbers on slips of paper, mix them, and draw the required number of slips.
Select Sample Size: Determine the sample size you need and select that number of individuals based on the random method used.
Collect Data: Gather data from the selected individuals to conduct your study.
Random Sampling Method
Random Sampling is a method of probability sampling where a researcher randomly chooses a subset of individuals from a larger population. In this method, every individual has the same probability of being selected. The researcher aims to collect data from as large a portion as possible of this randomly chosen subset.
In the field of statistics, sampling serves as the technique for selecting a portion of the population to draw statistical inferences. This subset’s characteristics allow us to estimate the attributes of the entire population. In the realm of market research, sampling methods fall into two primary categories: Random or probability sampling and non-probability sampling.
This article discusses the specific category of probability sampling known as random sampling and its types, formulas, advantages, examples, etc.
Table of Content
- What is Random Sampling?
- Random Sampling Definition
- Types of Random Sampling
- Simple Random Sampling
- Systematic Random Sampling
- Stratified Random Sampling
- Cluster Random Sampling
- How to Perform Simple Random Sampling
- When to Use Random Sampling
- Random Sampling Formula
- Advantages of Simple Random Sampling
- Disadvantage of Simple Random Sampling
- Random Sampling vs Non-Probability Sampling
- Random Sampling Examples
- Practice Questions on Random Sampling
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