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What does HSSE stand for?
Hardware/Software Systems Engineering Humanities, Social Science and Education (various locations) Health Safety Security Environment Health, Safety, Social, and Environmental Hyperplastic Stratified Squamous Epithelium Henry Samueli School of Engineering (University of California, Irvine) This info found 2012 Nov 22 at http://acronyms.thefreedictionary.com/HSSE
What is stratified sampling?
"statified sampling" is a way of getting an 'average' which represents the entire universe, or every thing that exists that somebody wants to count or measure. The entire universe is broken down into groups that dont overlap and a 'sample' is taken from each group. If it is done to the satifaction of statiticians, it can be as accurate, if not more because of the problems of counting and measuring everything, than a total count of measurments.
What is the scientific name for a human cell?
The scienific name for cheek is Prezwaregalopigas or Stratified (stacked) Squamous (flat) Epithelium (external covering cells)
What do you mean by sample design?
Sample design refers to the process of selecting a sample from a larger population for research or data analysis. The sample is a subset of the population, which is selected to represent the population's characteristics accurately. Sample design involves determining the size of the sample, the sampling method, and the criteria for inclusion in the sample. The size of the sample is typically determined based on the desired level of precision, level of confidence, and resources available for the research or data analysis. The sampling method can be random, stratified, cluster, or systematic, depending on the research question and the characteristics of the population. The criteria for inclusion in the sample are determined by the research question and the population's characteristics. For example, if the research question is about the prevalence of a particular disease in a population, the sample design may include criteria for age, gender, and other demographic variables to ensure that the sample represents the population's characteristics accurately. Sample design is a critical aspect of research and data analysis, as it directly affects the accuracy and generalizability of the results. A well-designed sample can help to minimize bias and increase the reliability of the results, while a poorly designed sample can lead to inaccurate or misleading conclusions. Therefore, it is essential to carefully consider sample design when conducting research or data analysis to ensure that the results are valid and reliable.
