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Statistical analysis is important in many branches of science. When understood and correctly applied, statistics can help us decide whether or not the results of a research project support the initial claim of the researchers.
A large sample reduces the variability of the estimate. The extent to which variability is reduced depends on the quality of the sample, what variable is being estimated and the underlying distribution for that variable.
A stochastic error is a type of random error that occurs in statistical models or experiments. It is caused by factors that are unpredictable or beyond the control of the researcher, leading to variability in the data. Stochastic errors can be minimized through larger sample sizes or by using statistical techniques to account for their presence in the analysis.
Voluntary response sample is not generally suitable for statistical study because its results are not likely to be the representative of the entire population under study.Such results could be biased as those who made effort to respond voluntary have strong feelings or opinions whether favorable or unfavorable regarding the subject of consideration.
Data analysis must be used to understand the results of a survey. Otherwise, the data collected by the survey would remain a jumbled collection of data.