
By Daryl S. Paulson
ISBN-10: 0387772812
ISBN-13: 9780387772813
ISBN-10: 0387772820
ISBN-13: 9780387772820
Biostatistics and Microbiology
Read Online or Download Biostatistics and Microbiology: A Survival Manual PDF
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Additional info for Biostatistics and Microbiology: A Survival Manual
Example text
Make the decision rule. 0, one cannot reject H0 at α. Step 5. Perform the experiment. 1. 233 log10/mL. Step 6. Make the decision. 05. 0 log10/mL of the initial population. Here, the microbiologist would be better advised to choose turbidity sample 1. 2 Use of the Student’s t Test to Make the Determination of a Sample Mean Different, Less than, or Greater than a Standard Value The basic formula for making this determination is: x −c tc = s n where tc = calculated t value, x = sample mean, c = standard value, s = standard deviation of the sample, and n = sample size.
Fig. 3, Step 4, upper-tail test diagram Step 5. Conduct the experiment. 1558 5 Step 6. Make the decision. 05. 0, it can be. 204 log10/mL. Key Point REMEMBER: CONFIDENCE INTERVALS ESTIMATE PARAMETERS, AND STATISTICAL TESTS TEST PARAMETERS The reason for this is that the confidence interval approach provides an estimate of the 1 – α range of the true mean in terms of an interval. In this case, it is the upper one-half of the interval that did not contain the standard. Yet, when the standard is compared or “tested” to the sample, the sample is not significantly greater than the standard at α.
9). Fig. 9 Difference testing In the case of A, where the standard and sample values are close, the test would probably conclude no difference existed between the standard and sample mean value A. That is, the H0 hypothesis of no difference would not be rejected. Although the test concludes they are not statistically different, they may actually be significantly different. The sample size may have been too small to detect a significant difference at a given α level. 6. (Optional) Equivalency Testing 33 no difference would probably be rejected, because the sample mean B is relatively far from the standard.
Biostatistics and Microbiology: A Survival Manual by Daryl S. Paulson
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