Answer:
a humongulous is simular in related organisims and analogous is simular in unrelated organisims
Explanation: i have already learned this
Answer:
The correct answer is c. Fatty acids
Explanation:
There are four major types of macromolecules present in nature and that are carbohydrates(polysaccharides), proteins, lipids, and nucleic acids. These macromolecules are polymers and are made up of monomer units.
The monomeric unit of polysaccharides is mainly glucose, of protein is amino acids, of nucleic acid is nucleotides and the monomeric unit of lipid is fatty acids. Ribosomes are macromolecules because it is made up of RNA and proteins.
So fatty acid is a monomer which joins together to form large macromolecules like lipids. Fatty acids are made up of a hydrocarbon chain which have one attached COOH group at the terminal position.
Therefore the correct answer is c. Fatty acids.
The answer is
Recombination is an exchange between homologous chromosomes (e.g. chr 1 from mom x chr 1 from dad). Since it usually happens during meiosis, these strands are later separated. Recombination can be unequal or equal, but it's usually equal, and unequal crossovers are generally quite small (but a common source of addition/deletion).
Reciprocal translocation refers to an exchange between different chromosomes (e.g. chr 1 x chr 2). It is considered a large scale mutation (resulting in a large addition to one chromosome, and a large deletion in another).
As the sample size increases, the t-distribution becomes more similar to the <u>normal</u> distribution.
<u>Option:</u> A
<u>Explanation:</u>
Student t-distribution is any member of a group or family of constant probability distributions that emerge in circumstances where the sample size is limited and the standard deviation of the population is unspecified when calculating the mean of a naturally distributed population.
The z-distribution implies you are conscious of the normal population deviation (never in case) when used for sample means. The t-distribution is focused on using the standard sample deviation as an approximation of the standard deviation in population.
