Systematic sampling is a probability sampling technique where sample units are chosen at fixed intervals. Moreover, this interval is usually determined by dividing the population size by the desired sample…
Cluster sampling is a probability sampling method that divides a large population into smaller groups known as clusters. This technique is widely used in statistical sampling in various fields, including…
Stratified sampling divides a population into smaller subgroups, known as strata, to capture key characteristics. This method is vital in research and also helps in reducing bias and ensuring each…
Simple random sampling stands out as a key method to ensure the representativeness of samples. This technique involves selecting a sample from a population where every member has an equal…
Quota sampling is a non-probability sampling method for gathering data from specific subgroups of a population. This approach involves selecting participants based on predetermined characteristics, such as age, gender, or…
Convenience sampling is a prevalent non-probability sampling technique. It involves selecting participants based on their accessibility and availability to the researcher. As a result, it is often employed when other…
Snowball sampling is a non-probability sampling method employed for accessing hard-to-reach populations or sensitive topics. It leverages the connections of initial participants to recruit further subjects, creating a "snowball" effect.…
Purposive sampling is a sampling technique that selects specific groups for in-depth analysis. It allows researchers to concentrate on particular areas of interest, gathering detailed data on those topics. Hence,…
Non-probability sampling methods involve selecting units from a population through subjective means, often necessary when random sampling is impractical. As a result, this approach excels in uncovering in-depth insights into…
Probability sampling methods ensure each population member has an equal chance of selection. This approach is vital for achieving accurate and unbiased research outcomes because it is essential for obtaining…
Sampling methods in research are used to choose a representative sample from a larger population. There are various types of sampling methods including probability and non-probability sampling methods. As a…
The Poisson distribution is named after the 19th-century French mathematician Siméon Denis Poisson. It significantly influences the modelling of count data and the prediction of rare events in economic and…
The chi-square distribution is an essential concept in statistics, also widely used in economic research. It represents the distribution of the sum of squared independent standard normal variables. Furthermore, this…
The F-distribution is a continuous statistical distribution developed by Ronald Fisher and George W. Snedecor. It stands crucial in hypothesis testing and the scrutiny of variance within diverse disciplines, prominently…
The t-distribution, an essential tool also known as the Student's t-distribution, resembles the normal distribution but it is tailored for scenarios where sample sizes are small and population variance is…
