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Example calculation of a paternity index. In paternity testing, Paternity Index (PI) is a calculated value generated for a single genetic marker or locus (chromosomal location or site of DNA sequence of interest) and is associated with the statistical strength or weight of that locus in favor of or against parentage given the phenotypes of the tested participants and the inheritance scenario.
Diagram showing the cumulative distribution function for the normal distribution with mean (μ) 0 and variance (σ 2) 1. These numerical values "68%, 95%, 99.7%" come from the cumulative distribution function of the normal distribution. The prediction interval for any standard score z corresponds numerically to (1 − (1 − Φ μ,σ 2 (z)) · 2).
The judge must also ensure that the jury does not confuse the match probability (the probability that a person that is chosen at random has a matching DNA profile to the sample from the scene) with the probability that a person with matching DNA committed the crime. In 1996 R v. Doheny [84]
For any population probability distribution on finitely many values, and generally for any probability distribution with a mean and variance, it is the case that +, where Q(p) is the value of the p-quantile for 0 < p < 1 (or equivalently is the k-th q-quantile for p = k/q), where μ is the distribution's arithmetic mean, and where σ is the ...
Not pregnant: Not pregnant: Has sex and ovulates: 2 weeks pregnant Not pregnant: Not pregnant: Fertilization; cleavage stage begins [33] Day 15 [33] Day 1 [33] [34] Not pregnant: Implantation of blastocyst begins Day 20 Day 6 [33] [34] Day 0 Implantation finished Day 26 Day 12 [33] [34] Day 6 (or Day 0) Embryo stage begins; also, first missed ...
Pregnant females were studied using a 2-plex massively parallel maternal plasma DNA sequencing and trisomy was diagnosed with z-score greater than 3. [34] The sequencing gave sensitivity of 100 percent, specificity of 97.9 percent, a positive predictive value of 96.6 percent and a negative predictive value of 100 percent. [citation needed]
At this time, compared to a progesterone level below 0.8 ng/ml, a level between 0.8 and 1.1 ng/ml confers an odds ratio of pregnancy of approximately 0.8, and a level between 1.2 and 3.0 ng/ml confers an odds ratio of pregnancy of between 0.6 and 0.7. [32]
If a data distribution is approximately normal then about 68 percent of the data values are within one standard deviation of the mean (mathematically, μ ± σ, where μ is the arithmetic mean), about 95 percent are within two standard deviations (μ ± 2σ), and about 99.7 percent lie within three standard deviations (μ ± 3σ).