Answer: D. Individuals may now have their DNA analyzed to determine ancestry.
Explanation:
Glass is brittle
Iron is malleable and ductile
glass is ressistant to corrotion
iron corrodes easily
Liquid doesnt dissolve the glass
some luquids can dissolve iron
iron is magnetic
glass isnt
Answer:
Explanation:
4 types of mutation:
Germline mutations occur in gametes. Somatic mutations occur in other body cells.
Chromosomal alterations are mutations that change chromosome structure.
Point mutations change a single nucleotide.
Frameshift mutations are additions or deletions of nucleotides that cause a shift in the reading frame.
3 more:
Over a lifetime our DNA can undergo changes or 'mutations?' in the sequence of bases?, A, C, G and T.
This results in changes in the proteins that are made.
Mutations can occur during DNA replication if errors are made and not corrected in time.
<u>Answer:</u>
The correct answer is Uracil which is nitrogen base found in RNA.
<u>Explanation:</u>
Uracil is a nitrogenous base which is located within an RNA molecule but not within a DNA molecule.
Uracil, represented by the letters A, G, C and U, is one of the four nucleobases that are found in the nucleic acid of RNA which binds to adenine.
While thymine is present in the DNA and binds to adenine.
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the large mountains between. If your sample area is the valleys, and you use this to estimate the population across the entire mountain range, <u>you overestimate the actual population size</u>
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Explanation:
- An estimate that turns out to be incorrect will be an overestimate if the estimate exceeded the actual result, and an underestimate if the estimate fell short of the actual result.
- The mean of the sampling distribution of a statistic is sometimes referred to as the expected value of the statistic. Therefore the sample mean is an unbiased estimate of μ.
- Any given sample mean may underestimate or overestimate μ, but there is no systematic tendency for sample means to either under or overestimate μ.
- Bias is the tendency of a statistic to overestimate or underestimate a parameter. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples