# Statistics

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Oksana Shishkinahas quoted6 years ago
Siméon-Denis Poisson (1781–1840), is a discrete probability distribution used to describe the occurrence of unlikely events in a large number of independent repeated trials. The Poisson is a good approximation to the binomial distribution when the probability is small and the number of trials is large
Ekaterina Staroverovahas quoted3 years ago
My graph not only dramatized the extent of the needless deaths during the war, but it also persuaded the medical profession that deaths were preventable if sanitation reforms were implemented in hospitals
Ekaterina Staroverovahas quoted3 years ago
Variables are characteristics of an individual or a system that can be measured or counted. These can vary over time or between individuals
Ekaterina Staroverovahas quoted3 years ago
This was one of the most remarkable results of the theory of probability …

… because it showed that the larger the sample size, the more closely the data will conform to the normal distribution
Ekaterina Staroverovahas quoted3 years ago
Gaming theory is assessed through a betting scheme based on what the person thinks the probability of some outcome will be. The idea is to locate probability where it should be in the mind of the observer, not in the outside world. The problem is that people with equal knowledge and skills can come to different answers.
Andri Ariyantohas quoted4 years ago
Demography deals with the size, conditions, structure and movement of populations as well as the vital statistics of birth, marriage and death to describe those populations.
Oksana Shishkinahas quoted6 years ago
It expresses the probability of a number of events occurring in a fixed period of time if these events occur with a known average rate and are independent of the time since the last event.
The analysis of mortality statistics often employs Poisson distributions on the assumption that deaths from most diseases occur independently and at random in populations.
Oksana Shishkinahas quoted6 years ago
Discrete probability distributions, such as the binomial, use discrete data (such as “heads” or “tails” in a flip of a coin) while continuous distributions, such as the normal, use continuous data (height and weight).
Oksana Shishkinahas quoted6 years ago
Bayes’ theorem can be used in diagnostic testing by general practitioners or clinicians. These doctors often start out with a prior belief about whether a patient has a particular illness or disease (based on the knowledge about the patient’s symptoms or the prevalence of the disease in the community) and this knowledge will be modified or updated by the results of clinical tests.
Oksana Shishkinahas quoted6 years ago
The binomial distribution is used when an investigator is interested in the occurrence of an event. For example, when new medical treatments are administered and a medical scientist wants to know if the patient will survive or die.
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