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Suppose an actual bird is observed to lay from one to six eggs each week. Which of the following would be the best method for randomly determining how many eggs an imaginary bird lays in a simulation?
Rolling a six-sided number cube and using the number on the top side
Suppose an actual bird is observed to lay from one to six eggs each week. Which of the following would be the best method for randomly determining how many eggs an imaginary bird lays in a simulation?
Rolling a six-sided number cube and using the number on the top side
In a simulation of genetics, a child inherits either a dominant or recessive allele from each parent. Which of the following would be the best method for randomly determining which of two possible alleles a child inherits from the father?
Drawing from a deck of cards printed with either an uppercase or lowercase Q. (Apex)
In a simulation of genetics a child inherits either a dominant or recessive allele from each parent. Which of the following would be the best method for randomly determining which of tw?
The best method for randomly determining which allele a child inherits from each parent would be to use a coin flip. Assign one side of the coin to represent the dominant allele and the other side to represent the recessive allele. Flipping the coin twice would allow you to randomly select one allele from each parent for the child’s genotype. This method ensures randomness and simplicity in simulating genetic inheritance.
In a simulation of genetics a child inherits either a dominant or recessive allele from each parent. Which of the following would be the best method for randomly determining which of two possible alle?
The best method for randomly determining which allele a child inherits from each parent is using a random number generator. Assign one allele as 0 and the other as 1, and generate a random number (0 or 1) for each parent to determine the alleles passed on to the child. This method ensures a fair and unbiased distribution of alleles.
In a study involving genetic traits a sample is large enough?
Reflects the genetic variation of a population
To create a simulation of photosynthesis in a forest of 50000 maple trees a scientist needs to determine the average number of leaves on an actual maple tree. Which of the following is the best course?
determine the average number of leaves for 10 randomly selected maple trees
To create a simulation of 100000 ants moving around inside a colony a scientist needs to determine the average traveling speed for an actual ant. Which of the following is the best course of action fo?
Determine the average traveling speed for 20 randomly selected ants.
To create a simulation of 20000 sheep grazing in an isolated valley a scientist needs to determine the average amount of grass eaten per day by an actual sheep. Which of the following is the best cour?
Determine the average daily grass consumption for 20 randomly selected sheep.
To create a simulation of 100,000 ants moving around inside a colony, a scientist needs to determine the average traveling speed for an actual ant. Which of the following is the best course of action for establishing this parameter?
Determine the average traveling speed for 20 randomly selected ants. (Apex)
Which of the following would be the best method for randomly choosing the next nucleotide to add to an imaginary DNA segment?
The best method for randomly choosing the next nucleotide to add to an imaginary DNA segment would be to use a random number generator that assigns each nucleotide (A, T, C, G) a number, and then select a number at random to determine which nucleotide to add next. This method ensures an equal probability of selecting each nucleotide.
What is the difference between deterministic and stochastic simulation models?
Any simulation model that does not contain any random or probabilistic element is called a deterministic simulation model. The characteristic of this type of simulation model is that the output is determined when the set of input elements and properties in the model have been specified. For example, a deterministic simulation model can represent a complicated system of differential equations. Many simulation models however, have at least one element that is random, which gives rise to the stochastic simulation model. In most simulation models randomness is important to mimic the real scenario, for example user connections to the internet arise 'randomly' when a person pressing a key. However, for any stochastic simulation model that has random output, the output (numerical results) can only be treated as an estimate of the true output parameters of the model
