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Your friend Skippy says that smaller sample sizes are more relevant when making predictions and that...

Your friend Skippy says that smaller sample sizes are more relevant when making predictions and that it doesn't matter if there is bias as long as the sample size is reasonable. This is true right?

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Answer #1

The given statement is false.

The larger the sample size, the more reprentative it will be of the population.

Small sample sizes often lead to chance findings while large sample sizes are statistically significant. It means the predictions are more accurate in large samples.

If there is bias in the selection of the sample, our results will also get biased. Hence, the sample size should be reasonable and suitable for the study and the selection of sample should be free from bias.

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