Which is true when estimating sample size needs for a quantitative study?

Question

Quizplus · Accepted Answer

Ideal sample size usually is based on either the Central Limit Theorem or power analysis. The CLT (which has been proven mathematically) asserts that the mean of a randomly generated sample of 30 or more elements approximates the population mean for any characteristic (Hinkle et al., 2003). Sample size has a major effect on a study's statistical conclusion validity, or the believability of the study's statistical findings, but cannot compensate for weakness in design. Larger samples are needed in experimental research.

Which Is True When Estimating Sample Size Needs for a Quantitative