Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
statistical.
The sampling universe is the totatility of items/events from which you can select or sample for statistical analysis and description.
A) more economical B)fewer personnel needed C) Less handling
The limitation of any statistical application is the fact that it always depends on some sampling. If this sampling is incomplete, or not representative of your actual base (say customers), your data may not yield accurate conclusions. Additionally, since it depends on sampling, your measurement is only applicable to a base that fits the profile of your sampling. For instance, if you took your sampling from Caucasian males over age 35, and it turns out your customer base has a large number of African, American females under 23, your conclusions based on the statistics could be imperfect.
an approach to sampling that has the characteristics of being randomly selected and the use of probability theory to evaluate sample results. Whereas non-statistical sampling is therefore any sampling approach that does not have both of the characteristicss of statistical sampling. I hope this will help....
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
Sampling gives good insight of the choosen sample
statistical.
Statistics consists of Descriptive Statistics,Probability theory,Distribution theory,Quality Control, Design of Experiments, Reliability, Operations Research, Queuing theory, Inventory control,Measure theory, Sampling theory, Statistical inference, Analysis.
Dan M. Guy has written: 'Wiley Practitioner's Guide to Gaas 2000' 'An introduction to statistical sampling in auditing' -- subject(s): Statistical methods, Auditing, Sampling (Statistics) 'Ethics for CPAs , Meeting Expectations In Challenging Times' 'Auditing/Study Guide' 'Practitioner's guide to audit sampling' -- subject(s): Statistical methods, Auditing, Sampling (Statistics)
Maurice S. Newman has written: 'Financial accounting estimates through statistical sampling by computer' -- subject(s): Accounting, Data processing, Sampling (Statistics), Statistical methods
Herman J. Loether has written: 'Inferential statistics for sociologists' -- subject(s): Sampling (Statistics), Sociology, Statistical hypothesis testing, Statistical methods 'Descriptive and inferential statistics' -- subject(s): Sampling (Statistics), Sociology, Statistical hypothesis testing, Statistical methods 'Descriptive statistics for sociologists' -- subject(s): Sociology, Statistical methods
state and prove sampling theory as applied to low pass signal
mathematically measured errors
Name and describe three methods of scientific statistical samplingRead more: Answers.com
The sampling universe is the totatility of items/events from which you can select or sample for statistical analysis and description.