How does sample size affect determinations of statistical significance? The smaller the sample size, the more confident one can

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How does sample size affect determinations of statistical significance? The smaller the sample size, the more confident one can

be in one's decision to reject or retain the null hypothesis. The smaller the sample size, the greater the probability that the variable has an effect. The larger the sample size, the more accurate the estimation of the true population value. The larger the sample size, the greater the probability that the variable has an effect.

Mathematics

1 answer:

marin [14] · Answer 1 · 2022-10-29T19:09:23+03:00

Answer:

The larger the sample size, the more accurate the estimation of the true population value.

Step-by-step explanation:

As large will be the sample size more data will be shown and more are the c c changes of it being an estimate of a true population. The sample size can be determined on the basis of use of experience, target variance, confidence level, and target for power.