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Binomial distributions

This post is about binomial distributions. The Binomial distribution has two parameters like  n and p. Due to n and p it is binomial.  these n and p are n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiment. Also we use probability of failure. Binomial  

Normal Distribution

A graphical representation of a normal distributions are sometimes called a bell curve because of its flared shape. The precise shape can vary according to the distribution of the population but the peak is always in the middle and the curve is always symmetrical. In a normal distribution, the mean, mode and median are all the same. The Normal distribution has two […]

Binomial Distribution

The Binomial distributions Number of successes in a specified number of independent trials of an experiment . Symbol: B (n, p), where n is the number of trials and p the probability of success in each. As there are two parameter therefore it is Binomial distribution. Hence it used for discrete values. Binomial Theorem

Normal Distribution

A  standard Normal Distribution graph is  “Bell Curve”.The standard normal distribution has two parameters: mean and standard deviation. Hence it use for continuous  random variable as well as it use for continuous values. Due to continuous values we use area under the curve for calculating probability. Normal

Further Probability

to calculate Further Probability.  Further Probability. An event ( E) is a subset of the sample space. That is, an event is a subset of all possible outcomes. We refer to this subset of outcomes as favourable outcomes. further probabilty

 
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