a. Suppose you select a sample of 200 complaints involving new car dealers. Show the sampling distribution of p. b. Based upon a sample of 200 complaints, what is the probability that the sample proportion will be within .04 of the population proportion? c. Suppose you select a sample of 450 complaints involving new car dealers. Show the sampling distribution of p. d. Based upon the smaller sample of only 450 complaints, what is the probability that the sample proportion will be within .04 of the population proportion? e. As measured by the increase in probability, how much do you gain in precision by taking the larger sample in part (d)?

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.