Scientific sampling is the process of examining a small section or sample of a larger group. An example would be to examine one grain of rice out of a bag or pot to determine whether or not the rice as a whole is still usable.
Simple random sampling is a term used to describe the method of selecting the sample to be examined. The sample has the same probability as the rest of the data to be selected.
Scientific sampling is not a reliable source when a high level of accuracy is desired. An advantage of scientific sampling is that it is cost effective to gain an overall perspective of a large group of data.Learn More
A poisson distribution displays discrete random variables, according to the University of Glasgow. Examples of discrete random variables include the numbers of cars that pass through an intersection in a given period of time. A discrete random variable is a representation of a countable number of separate values; this variable is always a finite number. Discrete random variables follow a poisson distribution.Full Answer >
Statistics are a methodology necessary in the field of statistics and are used to collect, analyze and evaluate data. Economics depends heavily on the use of statistics.Full Answer >
In statistics, common response refers to changes in both the explanatory and response variables that result from changes in another variable. The variable that triggers a common response is typically not part of the research design.Full Answer >
To find the IQR, find the median or center of the data, calculate the median of the lower and upper halves of the data, and find the difference between the medians of the lower and upper halves of data. You need a data set, a calculator, and pencil and paper to complete this task.Full Answer >