In total, 1,097 replacements were made. Use this fact to repeat #8, but this time estimate λ from the data using maximum likelihood estimation. Remember to adjust the degrees of freedom to account for this change.

 

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4,850 light bulbs in a building were observed for one year. The number of times the light bulbs were replaced is given below: Number of Replacements Number of Light Bulbs 4000 1 700 2 80 3 50 4+ 20 Using the chi-square fit test, you assess whether the data fits a Poisson distribution with 1 = .3 (this is the null hypothesis). For this test, the data is grouped such that the expected number of light bulbs in each interval is at least 2. 4,850 light bulbs in a building were observed for one year. The number of times the light bulbs were replaced is given below: Number of Replacements Number of Light Bulbs 4000 1 700 2 80 3 50 4+ 20 Using the chi-square fit test, you assess whether the data fits a Poisson distribution with 1 = .3 (this is the null hypothesis). For this test, the data is grouped such that the expected number of light bulbs in each interval is at least 2.

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The hypothesis being tested is H 0 The data fits a Poisson distributio... View the full answer