Answer:
It is neither accurate nor precise.
Explanation:
<em>The data set is neither accurate nor precise.</em>
Accuracy is defined as the closeness of a measurement to the true value.
Now let us look at the average of the data set:
30 + 17 + 27 + 21 + 32 = 127/5 = 25.4
<u>The average of the data set is 25.4, whereas the correct value provided is 25. The difference between the average of the data set and the correct value is 0.4 which is beyond the margin of error allowed in measurement. Hence, the measured data is not accurate.</u>
Also, precision is defined as the closeness of repeated measurement to one another.
<u>From the data set, the individual values are not close to one another in any form and the difference between them are more than the margin of error allowed in measurements. Hence, the data is far from being precise.</u>
Answer:
- person’s <u>genotype</u> is their unique sequence of DNA. More specifically, this term is used to refer to the two alleles a person has inherited for a particular gene. <u>Phenotype</u> is the detectable expression of this genotype – a patient’s clinical presentation.
Explanation:
person’s phenotype results from the interaction between their genotype and their environment.
The connection between genotype and phenotype is not always clear-cut. This means that you may encounter disparities between your patient’s genomic test result and their clinical presentation. Similarly, the phenotype of patients with a given genetic condition may vary greatly even within families.
Answer:During pregnancy, red blood cells from the unborn baby can cross into the mother's blood through the placenta. If the mother is Rh-negative, her immune system treats Rh-positive fetal cells as if they were a foreign substance. The mother's body makes antibodies against the fetal blood cells
Explanation:
