Data was recorded on 150 workplace accidents. The number of days since the previ

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Data was recorded on 150 workplace accidents. The number of days since the previous accident is summarized in the following table We want to check to see if a geometric model is appropriate for this data. IP{X = x} =p(1 - p)^x Show that the MLE for this model is p = 1/(x + 1). Calculate the MLE for p from the given set of data. Calculate the expected value for each number in this table if this data is from a geometric distribution. Is our rule of thumb satisfied? How can we remedy the situation? Perform the chi^2 test to see if the geometric model is appropriate. Find the appropriate critical value for this test using the right number of degrees of freedom and alpha = 0.05. What do we conclude?

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Data was recorded on 150 workplace accidents. The number of days since the previ

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