Vital statistics is concerned with averages, whereas mathematical statistics deals with variation.
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There are two types of statistical distributions:
probability distributions, which describe the possible events in a sample and the frequency with which each will occur;
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Frequency distributions transform very large groups of numbers into a more manageable form and show how frequently a particular item or unit in a group occurs.
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With six main probability distributions:
1. Binomial distribution
2. Poisson distribution
3. Normal distribution
4. Chi-square distribution
5. t distribution
6. F distribution
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Categories that can be counted are called discrete
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der or political affiliation). Quantities that can be measured are called continuous
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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.
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Mathematical statistics is analytical and can be used to make statistical predictions or inferences about the population.
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