Requirements of all t Tests Step 4. Write out the decision rule. The bacterial colonies 51 There is no substantial evidence to support the hypothesis that using the on-site water A group in the growth medium results in the appearance of significantly more sensitive spores than does the control medium.
Biostatistics and Microbiology - A Survival Manual (PAULSON, 2008. 222p.)
Although lack of randomization is probably the greatest contributor to biased studies, so is an inadequate sample size. In standard hypothesis testing, what primarily is evaluated is the validity of the alternative hypothesis.
That is, is there sufficient evidence to claim that a significant difference between the two groups exists? The rejection of an alternative hypothesis HA does not translate to acceptance of the null hypothesis H0. Yet, in many research papers, this is exactly what is claimed, at least by inference. For example, in comparing 5-min exposures of bacterial spores to a chemical disinfectant at full strength and at x strength using a sample size of four in each group, the microbiologist may claim no difference exists in the sporicidal activity of the two concentrations. But unknown to the microbiologist was that, given the 1.
So, before conducting a study, it is necessary to select a sample size that, considering the variability of the data, will actually support a statistical conclusion.
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Selection of an appropriate statistical sample size depends upon four indices: The standard deviation is a measure of precision. The larger the sample size, the greater the precision, i. The power of the statistic is 0. Two-Sample Statistical Tests, Normal Distribution 52 the ability of the statistical model to detect differences between data sets.
It is set by the researcher. A microbiologist may need to detect 0. Regression Methods in Biostatistics. Fundamental Statistical Principles for the Neurobiologist. Bootstrap Methods and their Application. Medical Statistics and Computer Experiments. Biostatistics for Medical and Biomedical Practitioners.
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