The 1948 presidential election polls of Crossley, Gallup, and Roper (see E7) were based on a method called quota sampling, in which quotas such as so many males, so many females, so many retired, so many working, so many unemployed, and so on were to be filled by field-workers for the polling company. The state of Washington, however, tried out a fairly new method called “probability sampling,” which made use of the random sampling ideas used today. Display 10.21 shows how that poll, based on about 1000 voters, came out, in terms of percentages.

Can you reject the hypothesis that this sample result is a good fit to the “truth” ?

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