describe what consequences sample size 37 will have on a analyses and on the reporting of results?
Sample size 37 appears to be quite a small number. Although i would like to note that it does depend on case to case but on a general front i would like to agree that it is not a huge number for sizing.A sample size that is too small increases the likelihood of a Type II error skewing the results, which decreases the power of the study. Also if we have a large sample size, the chances of experiment bias are also reduced and we may agree to confirm on the ideology that it will help to reduce the reduce and misses or dysfunctional results of any study. A small sample size also leads to a sampling statistic highly variable making it tough to generate a fair report.
describe what consequences sample size 37 will have on a analyses and on the reporting of...