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Animal cells<span> and plant </span>cells<span> can form tissues, such as muscle tissue in animals. A living tissue is made from a </span>group<span> of </span>cells<span> with a </span>similar<span>structure and </span>function<span>, which all </span>work together<span> to do a particular job. Here are some examples of tissues: muscle. the lining of the intestine. the lining of the lungs.</span>
Answer:
Explanation:
If any recessive phenotypic individuals result from the cross, then the unknown individual must carry the recessive allele, and have the heterozygous genotype. A testcross helps reveal the genotype of an organism when that organism shows the dominant trait, such as agouti coat color in rats.
Answer:
unicellular - both prokaryotes and eukaryotes
contain mitochondrion - eukaryotes only
are generally less than 2 pm - Prokaryotes only
multicellular - eukaryotes only
lack membrane-bound organelles - prokaryotes only
Explanation:
Prokaryotes are generally unicellular, that is, they are made up of single cells only. However, there are unicellular and multicellular eukaryotes with some eukaryotes like humans and advanced plants having as many as millions of cells.
Prokaryotes generally lack nucleus and other membrane-bound organelles such as chloroplast and mitochondrion. Eukaryotes on the other hand have nucleus and membrane-bound organelles such as mitochondrion and chloroplast.
When it comes to size, prokaryotes are generally small and microscopic while eukaryotes consist of both microscopic and macroscopic cells or organisms. However, prokaryotes are generally smaller than microscopic eukaryotes.
Answer:
product rule
Explanation:
In Statistics, the product rule, also called the "Leibniz law", is a rule that allows the differentiation of products from differentiable functions. This rule says that the derivative of a two-function product is the first function times the derivative of the second function plus the second function times the derivative of the first function. This rule is often used in forked line and probability methods.
