Name and describe three methods of scientific statistical sampling
Read more: Answers.com
Zigzag
random sampling ,systematic sampling , self-selected , and there is one more i don't know
Statistics is a study in uncertainty. Statistical techniques are used to assign probabilities to events and, since these are probabilities, certainty is rare. As a consequence, the methods yield answers with a degree of variability.
A statistical blunder refers to an error or mistake in the collection, analysis, or interpretation of data that leads to misleading conclusions. This can occur due to various factors, such as improper sampling methods, miscalculations, or overlooking confounding variables. Such blunders can severely impact research findings and decision-making. Recognizing and correcting these errors is essential for maintaining the integrity of statistical analysis.
The two types of biased sampling methods are convenience sampling and judgmental sampling. Convenience sampling involves selecting individuals who are easiest to reach, which can lead to unrepresentative samples, while judgmental sampling relies on the researcher’s subjective judgment to choose participants, potentially introducing bias based on personal beliefs or preferences. Both methods can compromise the validity of the results by not accurately reflecting the larger population.
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
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
C. J. Dixon has written: 'Sampling methods for geographical research' -- subject(s): Statistical methods, Sampling (Statistics), Geography 'South East Asia in the world-economy' -- subject(s): Commerce, Economic conditions
Alexander J. Chester has written: 'Sampling statistics in the Atlantic menhaden fishery' -- subject(s): Statistical methods, Atlantic menhaden, Menhaden fisheries, Sampling (Statistics)
because there are projects that include statistical methods.
With a probabilistic method, each member of the population has the same probability of being selected for the sample. Equivalently, given a sample size, every sample of that size has the same probability of being the sample which is selected. With such a sample it is easier to find an unbiased estimate of common statistical measures. None of this is true for non-probabilistic sampling.
Statistical Methods for Research Workers was created in 1925.
Stig Elofsson has written: 'On truncated sequential tests of parameters in various Poisson models with applications to traffic accidents' -- subject(s): Poisson distribution, Sampling (Statistics), Statistical hypothesis testing, Statistical methods, Traffic accidents
Zigzag
Survey is a type of statistical method of collecting data. This is very important in the field of psychology. Sampling, census etc. are some other methods of collecting data.
Edward Lee Korn has written: 'Analysis of health surveys' -- subject(s): Statistical methods, Health surveys, Multivariate analysis, Sampling (Statistics)