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.
BREAKING DOWN 'Frequency Distribution'. The size of the intervals used in a frequency distribution will depend on the data being analyzed and the goals of the analyst. However, the most important factor is that the intervals used must be non-overlapping and contain all of the possible observations.EFINITION of 'Frequency Distribution'. A representation, either in a graphical or tabular format, which displays the number of observations within a given interval. The intervals must be mutually exclusive and exhaustive.