The table below gives a frequency distribution describing the number of errors found in thirty 1,000-line samples of computer code. Suppose that we wish to determine whether the number of errors can be described by a Poisson distribution with mean μ = 4.5. Using the Poisson probability tables, fill in the table. Then perform an appropriate chi-square goodness-of-fit test at the .05 level of significance. What do you conclude about whether the number of errors can be described by a Poisson distribution with μ = 4.5? Explain.

Osservndy of Number Errors 0-1 2-3 4-5 6-7 8 or more Probablllty Assuming Errors Are Frequency Polssn D Poisson Dis Expected d with 4.5 Frequency istribute 6 4