To do this project, you should understand the following terms and concepts (do background research to fill in any gaps in your knowledge): 1  binary (base 2), 2  decimal (base 10), 3  hexadecimal (base 16), 4  bit, byte, kilobyte (kB), megabtye (MB), 5  radix (number base).
Sampling distribution. In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given statistic based on a random sample. Sampling distributions are important in statistics because they provide a major simplification en route to statistical inference.
In cluster sampling the population is divided into groups or clusters, a sample of these clusters may be drawn. For example, a city may be divided in a cluster of small localities, and a sample of these localities may be drawn using random sampling methods.Answer #1). Sampling is a method of studying from a few selected items,instead of the entire big number of units. The small selection is called sample. The large number of items of units of particular characteristic is called population.