© 2011 BFW PublishersThe Practice of Statistics, 4/e- Chapter 7343Test 7APart 11.aThis proportion is the result of a poll—a sample—so it’s a statistic.2.dThis is the definition of a sampling distribution.3.dAny time the center of a statistic’s sampling distribution is at the parameter value, thestatistic is unbiased.4.cThe mean of the sampling distribution is the same as the mean of the population, and thestandard deviation is153.25nV5.cEven if the sampling distribution is non-Normal, if the 10% condition is satisfied, this isthe appropriate formula for the standard deviation.6.aSee definition of central limit theorem on page 450 in text.7.bFor the U.S.,³´³´ˆ0.620.380.015351000pV.For Canada,³´³´ˆ0.590.410.015551000pV8.e45;3.75.xxnVPPVSincenis small and we don’t know the shape of thepopulation distribution, the shape of the sampling distribution is unknown.9.a³´8887.780.23xxP xPzPzPznPPVV§·§·¨¸¨¸§·±±±!!!!¨¸¨¸¨¸¨¸¨¸©¹¨¸¨¸©¹©¹10. e³´³´³´³´³´0.50.50.46ˆ0.510.460.54100pPpPzPzppn§·§·¨¸¨¸±±¨¸¨¸!!!¨¸¨¸±¨¸¨¸©¹©¹Part 211.(a)No.We don’t know the shape of the distribution, so we can’t calculate this probability.(b)Individual coin flips are independent. (Since the population of possible flips of this coin isinfinite, we need not be concerned about the 10% condition for finite populations.)(c)5.37.2;0.715.55xxPV(d)³´³´97.292.520.00590.715P xPzP z±§·!!!¨¸©¹.12.(a)³´³´ˆˆ0.50.50.5;0.071.50pppPV(b)Since the population of possible flips of this