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:
.02
Explanation:
When finding population density, divide the amount of people, animals or things in the region by the total square miles. 40/2000 is .02.
Answer:
I believe this answer would be C. It looks fairly stable so it should remain that way over time.
Explanation:
In the coding region, natural selection tends to eliminate all of the mutations because of the high importance these regions have. The coding region contains genes that synthesize proteins and the changes in the DNA sequence can have devastating effects on the cell. Therefore, there are very few differences in the sequences of coding regions that can help us trace the lineage.
On the other hand, in the non-coding regions, the mutations often accumulate because they have little effect on the cell and the adaptive value of the organism. This enables us to trace up the lineage by comparing the sequences and seeing the differences in the sequences.