ABSTRACT
This chapter addresses sample size determination for numeric data and categorical data. It is important to note that although the optimal sample size is the ideal situation, it must be acknowledged that often reality dictates something less perfect. The chapter covers options that account for undersized data samples and provides an overview for determining appropriate sample size for specific types of statistical analysis. The sample size is the number of cases or elements in the sample. There are numerous cloud and downloadable free and for-fee applications that can help one calculate appropriate sample sizes. The normal distribution relates to the Central Limit Theorem (CLT), which is an important statistical concept. The CLT states that a sample of means from randomly drawn samples will approach normal distribution as the overall sample size increases whether or not the population from which the samples are drawn is normally distributed.
