statistical inference
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Mathematica can be divided into two parts ; viz. Mechanics, and Statistics. Mechanics deals with the movement of a single object in a population. Statistics deals with the movement of the population as a whole. e.g. A single car may move at 30 mph. The total car population may have an average/mean speed of 20 mph.
I believe scientist use statistics as data to process certain actions from a measured group or population. This can determine certain out comes when test are done repeatedly to obtain an actual statistical outcome.
To be able to keep parameters within a controlled process. For ISO certifications and process verifications. To follow guidelines set forth by criteria standards. To display what occurs given certain conditions. # Design of Experiments (DOE) uses statistical techniques to test and construct models of engineering components and systems. # Quality control and process control use statistics as a tool to manage conformance to specifications of manufacturing processes and their products. # Time and methods engineering uses statistics to study repetitive operations in manufacturing in order to set standards and find optimum (in some sense) manufacturing procedures. # Reliability engineering uses statistics to measures the ability of a system to perform for its intended function (and time) and has tools for improving performance. # Probabilistic design uses statistics in the use of probability in product and system design. That slice of information is from our friends at Wikipedia.
A conclusion is a decision reached through reasoning. A result usually thought of as the product of a mathematical process. So a result is on kind of conclusion.
sampling errorS OCCURES WHEN SOME POPULATION UNITS ARE EXCLUDED FOR SAMPLING