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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.
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.
When performing an experiment or gathering data for statistics, it would be very difficult to gather information for every member of the group's population. Instead, one can gather information from a sample large enough to be representative of the population.
The larger the sample of data collected leads to a more accurate conclusion.
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.
Span the full spectrum of a population's genetic variation. <apex> Reflects the genetic variation of a population...
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.
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.
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 ;--;)
According to the Central Limit Theorem if the sample size is large enough then the means will tend towards a normal distribution regardless of the distribution of the actual sample.
A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.
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When performing an experiment or gathering data for statistics, it would be very difficult to gather information for every member of the group's population. Instead, one can gather information from a sample large enough to be representative of the population.
A technique called polymerase chain reaction (PCR) is used to create a large sample of DNA from a small sample. PCR amplifies specific regions of DNA by making millions of copies, allowing for further analysis and testing on the amplified DNA.
They are usually used to culture cells - often bacteria. This may be to obtain a large enough sample to test for diagnostic purposes, to test medicines and so on.