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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....
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Why its is necessary to use sampling in statistical investigation?
Sampling gives good insight of the choosen sample
Name and describe three methods of scientific statistical sampling?
Name and describe three methods of scientific statistical samplingRead more: Answers.com
What is population sampling?
Population sampling is the process in which a group of individuals are selected to represent a population for the purpose of statistical analysis. Population sampling allows the analyzers to learn about a population without studying every individual in it.
What is the difference between practical generalizability and statistical generalizability?
Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals
What are the principles of sampling survey?
Three important principles of sampling survey are: 1. Principle of validity 2. Princilpe of statistical regularity 3. Principle of optimization
What difference between Statistical Sampling and non-statistical sampling?
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.
Why its is necessary to use sampling in statistical investigation?
Sampling gives good insight of the choosen sample
What Type of sampling is used for estimating population?
statistical.
What has the author Dan M Guy written?
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)
What is the goal of the statistical theory of sampling?
Getting people to buy their products.
What has the author Maurice S Newman written?
Maurice S. Newman has written: 'Financial accounting estimates through statistical sampling by computer' -- subject(s): Accounting, Data processing, Sampling (Statistics), Statistical methods
What has the author Herman J Loether written?
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
Auditors who prefer statistical to nonstatistical smapling believe that the principle advantage of statistical sampling flows from its unique ability to?
mathematically measured errors
Name and describe three methods of scientific statistical sampling?
Name and describe three methods of scientific statistical samplingRead more: Answers.com
How would you define the sampling universe and why you chose this sample definition?
The sampling universe is the totatility of items/events from which you can select or sample for statistical analysis and description.
What is population sampling?
Population sampling is the process in which a group of individuals are selected to represent a population for the purpose of statistical analysis. Population sampling allows the analyzers to learn about a population without studying every individual in it.
What is the difference between practical generalizability and statistical generalizability?
Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals
