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Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion.

Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.

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Q: Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?

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It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.

China?

A valid conclusion is when your conclusion is written using the text you have and get it right.

a biased sample is valid determin

Scientists use the data from an experiment to evaluate the hypothesis and draw a valid conclusion.

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It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.

China?

at random to represent the population

Many statistical statements for a population which are based on a sample are not valid if the sample is not representative.

Inductive

It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.

A valid conclusion is when your conclusion is written using the text you have and get it right.

a biased sample is valid determin

A valid conclusion is an accurate answer which sums up the whole of the topic.

random sample of the town's population apex- (; A mix of participants that reflect your town's makeup

True. A valid argument can have a false conclusion if the premises logically lead to that conclusion even though it is not true. Validity in logic refers to the structure of the argument, regardless of the truth or falsity of the premises or conclusion.

a valid conclusion based on the information in the graph is that