ABSTRACT
A study of probability is essential to deal with such problems as the likelihood of an aircraft tyre failing on landing or the likelihood of a population having the same characteristics as a sample chosen from it, etc. If more than one event is involved then probabilities must be added or multiplied together to give a compound probability. This chapter provides the rules that apply for the compound probability. Since probability has been defined as limiting relative frequency, then probability distributions can also be similarly represented. The chapter discusses the three theoretical distributions, such as binomial distribution, normal distribution, and Poisson distribution, with example problems. The purpose of sampling is to obtain information about a large set of data by examining a smaller subset of the same data. This subset is called the sample and the total set the parent population.
