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.
Frequency Distribution. A frequency distribution shows the number of individuals located in each category of a categorical variable. For continuous variables, frequencies are displayed for values that appear at least one time in the dataset. frequency distribution not only presents an organized picture of how individual scores are distributed on a measurement scale, but also reveals extreme values and outliers. Researchers can make decisions on whether and how to recode or perform data transformation based on the distribution statistics.