Answer:
No
Explanation:
A carp (a kind of fish) has 104 and a rattlesnake fern has 184. Most likely neither of these is as complicated as we are (especially the fern).
These kinds of differences are out there because the number of chromosomes doesn’t have anything to do with how complicated or “advanced” a living thing is. What matters is what is on them.
Your fewer chromosomes have the set of instructions for making you and a potato’s chromosomes have the set of instructions for making a potato plant. It doesn’t matter how many pieces those instructions are cut up into.
Think about it like comparing the instructions for building a car to the instructions for building a bicycle.
Let’s say the car’s instructions are in one big book but the bicycle’s instructions are spread over five books. Making a bicycle isn’t more complicated than a car just because it is in five books instead of one. Same thing with your chromosomes and a potato’s chromosomes.
It also doesn’t always have to do with how many “pages” or even sets of instructions are in something’s chromosomes.
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Answer:
calcium is not a main element of calcium . question 2 hemoglobin is a globular protein with an embedded heme group. so a transportation protein and question 3 the building blocks of proteins are amino acids.
Explanation:
The third type of plate boundary occurs where tectonic plates slide horizontally past each other. This is known as a transform plate boundary. As the plates rub against each other, huge stresses can cause portions of the rock to break, resulting in earthquakes. Places where these breaks occur are called faults.
Answer:
4)TAAGGCTGGCCC
Explanation:
A pairs with T (for DNA strand)
G pairs with C
U is the special nucleobase of RNA and isn't a part of DNA therefore the answer is 4)
Answer & explanation:
A confidence interval is an estimated range of a parameter of interest. Confidence intervals are used to indicate the reliability of an estimate. For example, a confidence interval can be used to describe how reliable a search result is.
In other words, a high confidence interval Z value implies that a survey is more likely to indicate the actual values being presented.
In biostatistics, for example, the Z value can be used in calculations to assess the prevalence of a particular disease and the factors associated with it in a population.
The value of Z, however, is not used as a percentage (like the 99.5% addressed in this question) for calculations. A universal table is used to convert Z values and use them in statistical calculations.
Some examples of Z value conversions can be found in the table attached in this question.
