Sample Size Affects Sampling Error

How sample size affects sampling error.

A Natalie, blindfolded. randomly plucks a jelly bean from a jar. The lar contains l2O green and 280 black jelly beans, so 30 percent of the jelly beans in the Jar are green, and 70 percent are black. B The jar is hidden from Natalie's View before she removes her blindfold. She sees one green jelly bean in her hand and assumes that the jar must hold only green jelly beans. C Still blindfolded. Natalie randomly picks out 50 ielly beans from the jar. She ends up picking out 10 green and 40 black ones. D The larger sample leads Natalie to assume that oneafif‘th of the are jelly beans are green (20 percent) and four-fifths are black (80 percent). This sample more closely approximates the lar's actual green-to-black ratio of 30 percent to 70 percent. The more times Natalie repeats the same pling, the greater the chance she has of guessing the actual ratio.