Span the full spectrum of a population's genetic variation. <apex>
Reflects the genetic variation of a population...
only if it was heavy enough and in a solid state rather than being iron filings as if the sample of iron was large enough then dropping said lump of pure iron on ones foot for example would break bones at worse or cause bruising at worse hop i was of some help answered by THE FOUNTAIN OF KNOWLEDGE.
becaues large, crashing waves have a force large enough to put enough pressure on the rocks to crack them
It necessary when performing an experiment that a large quantity of tests and trials are performed because observations tend to have errors. There are random errors, which are errors in measurement, and there are systematic errors, which are errors in procedure or calibration. Both have to be considered. Performing the experiment more than once allows one to estimate the varience of the results, to reject erroneous results, and to more accurately describe how the results fit the theory.
How representative is the sample relative to the target population.
if they are smal enough, or you have a large dryer
span the full spectrum of a population's genetic variation.-apexI got you guysssss.feel free to hmu on snap king.youssof ( need knew friends ;--;)
A sample should be representative of the population it is drawn from, have enough data points to provide reliable conclusions, and be selected randomly or systematically to minimize bias. Additionally, samples should be sufficiently large to ensure statistical significance.
1. the sample should be representative thus carefully selected. 2. the sample should be adequate thus significant enough.
No large enough sample has been prepared to know what the phase is.
A sample of a population should be small enough to allow for efficient data collection and analysis while still being representative of the population. This ensures that the results can be generalized without being overly burdensome in terms of time and resources. Additionally, a smaller sample can facilitate quicker decision-making and reduce costs, while still capturing the essential characteristics of the larger group. However, it must be large enough to maintain statistical validity and reliability.
Yes, but that begs the question: how large should the sample size be?
For a large enough sample, it will resemble a rectangle whose base will be the range of the variable and the height will be the reciprocal of the number (or width) of the base.
A large sample will reduce the effects of random variations.
Such sample could be obtained from ponds or lakes. If you want, you can also go to the ocean to examine the algae underwater. Seaweeds are the most widely known protist and large enough to see. To see microscopic protists, you should go to a local pond or stream.
Large enough to urinate successfully.
Yes. Roughly, very large samples are very likely to have subsets data points having very similar means and distributions. Large numbers of such subsets will tend to be normal distributed (Why?) and will tend to make the total sample be normally distributed.
A good sample for a poll should be representative of the larger population you wish to study, meaning it reflects the diversity in demographics such as age, gender, ethnicity, and socioeconomic status. It should be randomly selected to minimize bias, ensuring that every individual has an equal chance of being included. Additionally, the sample size should be large enough to provide reliable results while considering factors like the desired confidence level and margin of error.