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They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.

Q: Why do smaller populations need larger sample sizes?

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Larger cup size, smaller band size.

The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution. This fact holds especially true for sample sizes over 30.

Yes. 32A is bigger and 32AA is smaller

The answer depends on their sizes! A small square will have a smaller area but a huge square will have a bigger area. Do the two shapes have equal sides, apothems, diagonals? Also, a square is a regular shape, what about the octagon?

40E is the larger of the two sizes.

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The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.

Small populations are most affected by genetic drift because random chance plays a greater role in determining allele frequencies. Isolated populations, such as those on islands, are also susceptible to genetic drift due to limited gene flow with other populations. Additionally, founder populations, which are established by a small number of individuals, can experience genetic drift as the population grows.

You would have to get the larger sizes cuppler with a reducer to the smaller size and then join it together

Asteroids can be different sizes, so they can be larger or smaller than Mars.

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Accurate estimates of various statistics.

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Most stars are smaller than the Sun, but those that are larger can be a lot larger.

the planets do not get smaller the father they go... they range from all different sizes some are larger than get smaller, some are smaller then get larger...look it up at your library~ it is very interesting

If they are not matched pairs, it does not really matter. If the combined sample size is fixed (because of costs, say) then it is better to have a larger sample where more variability is expected.

Some are, but some are larger. They come in different sizes.

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