Statistics

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

Mathematical statistics is analytical and can be used to make statistical predictions or inferences about the population.

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.

der or political affiliation). Quantities that can be measured are called continuous

Categories that can be counted are called discrete

With six main probability distributions:

1. Binomial distribution

2. Poisson distribution

3. Normal distribution

4. Chi-square distribution

5. t distribution

6. F distribution

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.

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;

Vital statistics is concerned with averages, whereas mathematical statistics deals with variation.

There are different approaches to probability:

1. Subjective

2. Games of chance

3. Mathematical

4. Relative frequency

5. Bayesian