You have been introduced to two important distributions- the binomial distribution and the normal distribution. Review the examples in the resource materials and then think of an example of your own. Provide the example and identify it as either an example of data following a binomial or normal distribution. Explain why.
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The binomial distribution is a discrete probability distribution that describes the number of successes in a fixed number of independent Bernoulli trials, where each trial has the same probability of success. It is characterized by two parameters: the number of Show more…
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Provide examples of data that follow each distribution to help illustrate your points. What are the basic differences between the two distributions? Under what circumstances do you think it works well to approximate the binomial using the normal, considering the differences? Under what public health or medical circumstances would it be helpful to identify the probability of an event? Provide some real-life examples.
Madhur L.
discuss your understanding of normal distribution; why is normal distribution important in statistics and in everyday life. Give examples to underscore your points.
Sri K.
what makes the binomial distribution unique from other types of distributions? What are its characteristics? Provide a real-world example of a distribution of data that would be considered binomial.
Adi S.
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