- Course Introduction
- 01: Evidence & DNA
- 02: Forensic Biology
- 03: DNA Extraction & Quantitation
- 04: DNA Amplification
- 05: Amplified DNA Product Separation
- 06: STR Data Analysis & Interpretation
- 07: Population Genetics & Statistics
- 08: Communicating Results
- 09: Other DNA Markers & Technologies
- Course Resources
- Laboratory Training Manual
President's DNA Initiative
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Advancing Justice Through DNA Technology
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Advancing Justice Through DNA Technology
DNA Analyst Training
Confidence Intervals
Home > Population Genetics & Statistics > Statistics > Confidence Intervals
In a statistical context, populations are defined by parameters such as mean and variance . These parameters are estimated from the data obtained from population samples. Here we are interested in the frequency of an allele in the population, estimated from its proportion in the sample set. As the sample size increases, the estimate will become a more dependable measure of the true frequency of the allele in the population.10 Classical statistics deals with the relationship between sample size and the reliability of a parameter estimate by calculating a confidence interval which furnishes a range of plausible values for the unknown parameter.
Click here to watch a video on confidence intervals presented by Greggory LaBerge.
Confidence Interval |
z√[p(1-p)]/n Where z is found from statistical tables and depends on the desired range (e.g. 95%); and p is the proportion observed in the sample of size n |
Click here to watch a video on estimation presented by Greggory LaBerge.
