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1. A die is thrown 9000 times and the outcome of 3 or 4 is observed 3240 times. Show
that the die cannot be regarded as an unbiased one and find the limits between which
the probability of a throw of 3 or 4 lies.
2. Find the maximum likelihood estimator for the parameter l of a Poisson distribution
on the basis of a sample of size n . Also find its variance.
3.In a binomial distribution consisting of 5 independent trials, probabilities of 1 and 2
successes are 0.4096 and 0.2048 respectively. Find the parameter ' p ' of the
distribution.
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Solution #00070012
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DATE ANSWEREDOct 14, 2020
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