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Introduction to Binomial Distribution 

Binomial Distribution is closely related to Bernoulli series and is a very important topic of the subject of statistics and the theory of probability. The binomial distribution is a method of expressing the probability of the various outcomes in terms of true or false or we can say success or failure. This concept of statistical binomial distribution is used in many different areas for resolving problems in social sciences, scientific research, data analysis, and business. The process of using this method is also known as a Bernoulli trial. The mathematical model of binomial distribution works on the basis of following conditions or constraints.

  • There are n number of trials and out of those trials only two results are possible at any instance
  • The possibility or probability of all the individual trial is always continuous
  • All the trials run on their own and not interdependent
  • Mean of the binomial distributions is denoted as nP

This is a very difficult subject because it involves studying complicated mathematical formulas, models and concepts. However, if you ever feel like that you are not able to learn its concepts properly then you can use our statistics assignment help service to get a better understanding of the various topics like Mean, Beta distribution, Variance, Conditional binomials, Mode, Sums of binomials, Median, Poisson, binomial distribution, Covariance between two binomials, Probability mass function, Ratio of two binomial distributions, Related distributions, Cumulative distribution function, Wald method, Limiting distributions, AgrestiCoull method, Confidence intervals, Wilson method, Normal approximation, ArcSine method, Poisson approximation and Bernoulli distribution

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