What Is the Gaussian Probability?

The Gaussian probability theory is a probability measure in statistics that helps determine the common and average outcome of a particular group. Usually the data is plotted on a scatter plot graph and then the probability is determined by drawing a line of best fit. The answers obtained are then used for a variety of purposes from scientific use to government use.

Discovery

• The Gaussian probability is a probability theory that determines and measures the normal or common distribution of a particular notion within a group. This probability theory has been used extensively since its discovery. The Gaussian probability is named after Johann Carl Friedrich Gauss, a nineteenth century mathematician. During his lifetime, Gauss made considerable and significant contributions to science and mathematics, so much so that the theory of the Gaussian probability was named in his honor. The theory itself was not invented or discovered by one person but rather a group of scientists throughout history and throughout the world.

Medical Use

• In medicine, the Gaussian probability is used to help determine what drugs and treatments should be available for diseases and illnesses. Medical doctors assess patients with a certain disease and statistically plot their symptoms and health concerns. The doctor then assesses the data to determine the Gaussian probability of the illness. Whatever symptom and factor that lies within the Gaussian probability is what doctors would conclude as the "official" symptoms and treatments for a particular illness. The use of Gaussian probability in medicine helps not only in determining how to treat an illness and the symptoms present, but it can also help identify any new illnesses not yet discovered.

Scientific Use

• The Gaussian Probability has been used extensively in science as a way to determine the common factors and the accuracy and precision of scientific experiments. When trying to determine a pre-set hypothesis, scientists will carry out numerous experiments following the same procedure. The idea is that if the experiment is carried out several times over a period of time, whatever results fall into the Gaussian probability are the most likely answer to the hypothesis. The Gaussian probability is extremely important in science as this is what scientific research and the outcomes of experiments that help answer certain medical, geological and environmental questions is based on.

Government Use

• Many government agencies and offices use the Gaussian probability to assess and determine what the society needs from its government in order to improve the quality of life. The Gaussian probability measures normality -- the most common problem, concern or effect within a set group of people. For example, when assessing New York City's population in regard to overall health, the Gaussian probability proves that the majority of people from New York City suffer from obesity. As a result, a government initiative might be to set up more exercise programs to help assist New Yorkers in combating obesity.