Sources of Demographic Data Understanding the human population is a multidimensional puzzle that societies across the globe strive to solve. Demographic data, the statistical view of populations, holds the keys to unlocking insights into our communities, societies, and even the future. This data guides governments in policy-making, aids businesses in market research, and supports researchers […]

Equal size cluster sampling is a method used in survey sampling where the population is divided into clusters of equal size, and a fixed number of clusters are selected for the sample. Within each selected cluster, all units are included in the sample, resulting in a subset of the population that is representative of the […]

Sampling Techniques: Exploring the Horvitz-Thomson Estimator The Horvitz-Thomson estimator is a powerful statistical tool used in survey sampling to estimate population totals or means from sample data. Developed independently by David Horvitz and Donald Thomason, this estimator is particularly valuable when sampling designs involve unequal probabilities of selection or when stratification is used. In this […]

Sampling Techniques: Exploring Probability Proportional to Size Sampling and Des Raj and Das Estimators for \( n = 2 \) Sampling with probability proportional to size (PPS) is a method used to select samples from a population where the probability of selection for each unit is directly proportional to its size or measure of importance […]

Estimating the population mean and standard error is a fundamental aspect of sampling techniques, providing insights into the central tendency and variability of a population. Two common methods for estimating population parameters are systematic sampling and simple random sampling. In this article, we will explore the estimation of population mean and standard error using these […]

Sampling Techniques: Exploring Systematic Sampling When Population Size is an Integer Multiple of Sampling Size Systematic sampling is a widely used technique in survey research, particularly when the population size is large and there is a need for efficiency in sampling. When the population size (N) is an integer multiple of the sampling size (n), […]

Sampling Techniques: Evaluating Bias and Variance to the First Order of Approximation, Comparison with Simple Random Sampling In the realm of sampling techniques, understanding bias and variance is crucial for assessing the accuracy and reliability of sample estimates. Bias refers to the systematic error in estimation, while variance measures the variability of estimates around the […]

Estimation of population mean is a fundamental aspect of sampling techniques, allowing researchers to make inferences about the average value of a variable within a population based on data collected from a sample. This process involves using sample statistics, such as the sample mean, to estimate the population parameter, which provides valuable insights for decision-making, […]

In the realm of sampling techniques, ratio, product, and regression methods of estimation play significant roles in estimating population parameters based on sample data. These methods offer alternative approaches to traditional estimation techniques and are particularly useful when certain conditions or assumptions are met. In this article, we will delve into the concepts, applications, calculations, […]

In the realm of statistics and sampling, understanding covariance and variance functions is essential for analyzing relationships between variables and assessing the variability within datasets. Covariance measures the degree to which two variables change together, while variance measures the dispersion of values around the mean for a single variable. In this article, we’ll delve into […]