When to Use Random Sampling
- When the population is relatively homogenous: Simple random sampling works well when the population shares similar characteristics, as each individual has an equal chance of being selected.
- When the population size is known: If the total population size is known, simple random sampling ensures that every individual has a known and non-zero chance of being included in the sample.
- When there is no need for specialized knowledge: Simple random sampling is straightforward to implement and does not require extensive prior information about the population.
- When statistical inference is the primary goal: Simple random sampling is often used when researchers need to make generalizations about the population based on the sample data, as it provides an unbiased estimate of population parameters.
- When resources are limited: Simple random sampling can be more cost-effective and less time-consuming compared to other sampling methods, making it suitable when resources are limited.
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