Introduction: In the realm of research, selecting a suitable sample from a larger population is often a challenging endeavor. While probability-based sampling methods offer a high degree of representativeness, they can be resource-intensive and time-consuming. In contrast, convenience sampling presents itself as a pragmatic and accessible alternative, prioritizing practicality over strict adherence to statistical principles. […]

Introduction: In the vast landscape of research methodology, selecting a representative sample from a large and diverse population is often a challenging task. Cluster sampling emerges as a strategic approach, offering efficiency and practicality, particularly when the population is geographically or organizationally clustered. In this article, we delve into the principles, applications, and advantages of […]

Introduction: In the realm of research, selecting a representative sample from a larger population is crucial for drawing accurate conclusions. Among the array of sampling techniques, systematic sampling offers a structured and efficient approach to achieving this goal. In this article, we delve into the principles, applications, and advantages of systematic sampling, shedding light on […]

Introduction: In the realm of research, ensuring the accuracy and reliability of findings is paramount. To achieve this, researchers often turn to sampling techniques, among which stratified random sampling stands out for its ability to provide precise insights into diverse populations. In this article, we embark on a journey to understand the intricacies of stratified […]

Simple Random Sampling: With and Without Replacement Introduction: Sampling is a fundamental technique in research, allowing researchers to draw conclusions about a larger population based on a subset of its members. Among the various sampling methods, simple random sampling stands out for its simplicity and effectiveness. In this article, we’ll delve into the concepts of […]

If the universal set is U={1, 2, 3, 4, 5, 6, 7, 8} and A={2, 3, 6, 7}, B={4, 6, 8},C={6, 7, 8} are the subsets of U, then verify a) De-Morgan’s laws b) left distributive law Solution: If you want to see answer please contact us our Whatsapp number 9009368238 If you want to […]

Arrange the numbers 49, 36, 42, 19, 22, 27, 14, 13, 24, 48, 23, 28, 17, 42, 39, 45, 22, 24, 17,41, 18, 42, 38, 43, 11, 27, 36, 13, 40, 30, 24, 10, 18, 47, 18, 19, 23, 12, 27 in stretched stem-and-leaf display that has single-digit starting parts and leaves, but has stem […]

If four cards are chosen from a pack of 52 playing cards then find the number of ways that all four cards are: a) of same suit b) red c) face cards d) king e) of different suit Solution: a) All four cards are of the same suit: There are indeed 4 suits, and for […]

Definition The average amount of total inspection epitomizes the quintessence of SQC, encapsulating the meticulous evaluation of product quality through a statistical lens. It encompasses the average number of units scrutinized within a defined temporal ambit to ascertain adherence to stringent quality specifications. This metric embodies the essence of process control, facilitating empirical insights into […]

Definition of Average Sample Number (ASN) Average sample number (ASN) is a metric used in statistical quality control to quantify the average number of samples required to detect a specific level of non-conformance within a given population or process. It provides a measure of the sampling efficiency by indicating how many units need to be […]