Applied statistics research plays pivotal role in diverse problems of social sciences, agricultural sciences, health sciences, and business research. Many investigations are conducted by survey research. The technique of sampling and determination of sample size have crucial role in survey-based research problems in applied statistics. Specific sampling techniques are used for specific research...

Background and Aim: This study was performed to investigate the effect of mental wellbeing on flow at work with the mediator variable of perceived organizational support in Payam Noor University in Khuzestan Province, Iran. Matrials and Methods: This was an applied research project. The research population was the personnel of Payam Noor University in Khuzestan Province, Iran. The sample size ...

E-learning has been used by many higher learning institutions around the globe. However, are the university instructors ready to use e-learning in their teaching and learning activities? What are the factors influencing their e-learning readiness? This study attempts to model e-learning readiness among instructors in four Iraqi public universities (IPUs). Based on the literature, nine factors i...

Stratified random sampling at differential rates is commonly used in social science surveys to improve the chances of getting sufficiently large samples of subpopulations of interest. Multi-phase sampling is often used to further target desired populations. The variances of such samples can be estimated using jackknifing, which creates replicated values of the characteristic of interest as if o...

Any attempt to assess species abundances must employ a sampling design that balances collection of accurate information for many species with a reasonable sampling effort. To assess the accuracy of commonly used within-site sampling designs for sessile species, we gathered cover data at 2 rocky intertidal locations in Southern California using a high-density point-contact method that maintained...

1. What is a Survey? 2. Probability sampling 3. Common probability sampling designs 3.1. Simple Random Sampling 3.2. Stratified Sampling 3.3. Cluster Sampling 3.4. Unequal Probability Sampling 3.5. Systematic Sampling 3.6. Stratified Multistage Sampling 4. Survey estimates and standard errors 5. Nonsampling errors 6. Sampling rare populations 7. Issues in Survey Design Acknowledgments Glossary ...

Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statistics are introduced to the procedure of data collection for IDS, and formulas used to calculate the sample size of packets based on these sampling techniques are presented. The implementation of packets sampling is provi...