EVERYDAY SCIENCE

Detailed explanation-1: -A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200, 000, 10% would be 20, 000. This exceeds 1000, so in this case the maximum would be 1000.

Detailed explanation-2: -The larger the study sample size, the smaller the margin of error.) Larger sample sizes allow researchers to control the risk of reporting false-negative or false-positive findings. The greater number of samples, the greater the precision of results will be.

Detailed explanation-3: -Often a sample size is considered “large enough” if it’s greater than or equal to 30, but this number can vary a bit based on the underlying shape of the population distribution. In particular: If the population distribution is symmetric, sometimes a sample size as small as 15 is sufficient.

Detailed explanation-4: -The smaller the target population (for example, less than 100 individuals), the larger the sample size will proportionally be. The study outcome must be a percentage, that is, a number that varies from 0% to 100%.