The Swiss mathematician James Bernoulli (1654–1705), created the binomial distribution in 1700, and it was initially published in 1713, eight years after his passing. The following circumstances allow for the usage of this distribution:
The random experiment...

An important problem in statistics is estimating the population mean on the basis of the sample mean. For example, suppose that we want to calculate the average height of the entire American population. It...

Poisson distribution was derived in 1837 by a French mathematician Simeon D. Poisson (1781-1840). When the likelihood of an event occurring is very low and there are a significant number of possible occurrences, the...

The binomial distribution is used to calculate probabilities when a trial with two outcomes is repeated a certain number of times. For example, suppose that a coin is tossed ten times. Then the probability...

The relative frequency of any given data value can be calculated by dividing its frequency by the total frequency of the given set of data values. An item's relative frequency is defined as a...

One of the most significant continuous theoretical distributions in statistics is the normal probability distribution. The majority of data in the social and physical sciences as well as economics and business statistics follow this distribution.
The...

The MAPE (Mean Absolute Percentage Error) calculator allows us to calculate how accurately our regression model predicts the data values. If the MAPE value is high then it means that the regression model has...

Suppose that we repeat a Bernoulli trial some number of times. The geometric distribution helps us to calculate the probability that we have a given number of failures before one success.
By a Bernoulli...