Answer:
The initial amount, 1.3 million = 1,300,000 is the 100%.
now, 640,000 is a given percentage (lower than 100%) of that.
How we can find it?
suppose that 640,000 represents an x%.
Then we have that the quotient between the actual quantities and the percentages must be the same
(640,000/1,300,000) = x%/100%
x% = (640,000/1,300,000)*100% = 49.23%
Then the percentage declined is:
100% - 49.23% = 50.77%
The other question can not be answered with the given information.
I think C) availability of water is your best answer because alot of organisms count on water as a major resource because they need it to survive so a lack or a gain in the amount of water will majorly effect an ecosystem.
Answer:
4 percent (4%)
Explanation:
A single crossover occurs between two (non-sister) chromatids belonging to homologous chromosomes. In this case, 16 percent of the meioses have a single crossover, thereby it will produce 8 percent of the chromosomes with the original (parental) combination in the progeny and the remaining 8 percent should be recombinants. From this result, it is reasonable to conclude that half of these recombinants should be 'Br' (and the other remaining 4 percent should be recombinants 'bR'), and therefore the answer is 4 percent (4%).
Subjects in the population are sampled by a random process, using either a random number generator or a random number table, so that each person remaining in the population has the same probability of being selected for the sample.
How to Estimate a Population Total from a Simple Random Sample
1. This lesson describes how to estimate a population total, given survey data from a simple random sample. ...
2. Sample mean = x = Σx / n.
3. Population total = t = Nx.
4. where N is the number of observations in the population, and x is the sample mean.
A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. ... In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.
Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population.
