Abstract
While working with data obtained through a sample, it is required to know the accuracy of the estimates made based on that data. The extent of closeness of values estimated through the sample to the values in the population from which the sample is taken should be known. The level of accuracy is measured through the concepts of confidence level and confidence interval. The normal curve table presents information about the way data are within the normal curve and allows to make estimates about the relationship among the values determined through sampling. For any value, the normal curve table permits to determine the percentage of cases falling above or below the value. For any two values, the normal curve table permits to determine the proportion of total values or observations that fall between the two scores. The chapter presents examples of determining the proportion between values and determining the proportion above and below values. It also discusses the way to estimate population means and to estimate representativeness of a sample of the population.
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