statistics question
a. What did you learn from binomial and hyper geometric distributions? Write a brief note of five lines on these distributions.
Answers
Answer:
In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of {\displaystyle k}k successes (random draws for which the object drawn has a specified feature) in {\displaystyle n}n draws, without replacement, from a finite population of size {\displaystyle N}N that contains exactly {\displaystyle K}K objects with that feature, wherein each draw is either a success or a failure. In contrast, the binomial distribution describes the probability of {\displaystyle k}k successes in {\displaystyle n}n draws with replacement
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Answer:
he two distribution bionomial and hypergeometrics are discreate distributions that models the number of events in a fixed number of trials.
. That each trial has two possible outcomes and for the bionomial distribution , the probability is the same for every trial.
For the hypergeometric distribution , each trial change the probability for each subsequent trial because there is no replacement.
. Use bionomial distribution with population so large that the outcome of a trial has almost no effect on the probability that the next outcome is an event or non- event.
Use hypergeometric distribution with populations that are so small that the outcome of a trial has a large effect on the probability that the next outcome is an event or non - event.
Explanation: