Jollibee

Anjo Q. Isla

IV-Creativity

1.Statistics: Branch of mathematics dealing with gathering, analyzing, and making inferences from data. Originally associated with government data (e.g., census data), the subject now has applications in all the sciences. Statistical tools not only summarize past data through such indicators as the mean (see mean, median, and mode) and the standard deviation but can predict future events using frequency distributionfunctions. Statistics provides ways to design efficient experiments that eliminate time-consuming trial and error. Double-blind tests for polls, intelligence and aptitude tests, and medical, biological, and industrial experiments all benefit from statistical methods and theories. The results of all of them serve as predictors of future performance, though reliability varies. See also estimation, hypothesis testing,least squares method, probability theory, regression.

2.Population: There are many models which can fit population mathematically with parameters like desease, growth etc .. the first one was given by Euler in term of geometrical serie, but the first strong mathematical model of population in term of integral equation was given by A.J Lotka in 1939 title of this article " On a integral equation in population analysis" .

3.Sample: In mathematical terms, given a random variable X with distribution F, a random sample of length n (where n may be any of 1,2,3,...) is a set of n independent, identically distributed (iid) random variables with distribution F.[1]

A sample concretely represents n experiments in which the same quantity is measured. For example, if X represents the height of an individual and n individuals are measured,  will be the height of the i-th individual. Note that a sample of random variables (i.e. a set of measurable functions) must not be confused with the realizations of these variables (which are the values that these random variables take, formally called random variates). In other...