(a) What is the probability that on the next page she will make 2 or more errors? (b) What is the probability that a randomly selected page is error free? Click here to view the table of Poisson probability sums. (a) The probability that a page has at least 2 errors is (Round to four decimal places as needed.)

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### Poisson Probability and Word-Processing Errors

In this exercise, we analyze the probable number of word-processing errors made by a textbook author, based on an average error rate using Poisson probability distribution. On average, the author makes 2.5 word-processing errors per page on the first draft of her textbook.

#### Questions

(a) What is the probability that on the next page she will make 2 or more errors?
(b) What is the probability that a randomly selected page is error-free?

To assist with these calculations, you can **[click here to view the table of Poisson probability sums](#)**.

--------

### Calculate Probabilities

(a) The probability that a page has at least 2 errors is: [Input required]

(Round to four decimal places as needed.)
Transcribed Image Text:### Poisson Probability and Word-Processing Errors In this exercise, we analyze the probable number of word-processing errors made by a textbook author, based on an average error rate using Poisson probability distribution. On average, the author makes 2.5 word-processing errors per page on the first draft of her textbook. #### Questions (a) What is the probability that on the next page she will make 2 or more errors? (b) What is the probability that a randomly selected page is error-free? To assist with these calculations, you can **[click here to view the table of Poisson probability sums](#)**. -------- ### Calculate Probabilities (a) The probability that a page has at least 2 errors is: [Input required] (Round to four decimal places as needed.)
### Poisson Probability Sums

The following tables provide the sums of Poisson probabilities \( \sum_{k=0}^r P(k; \mu) \) for various values of the parameters \( r \) and \( \mu \).

#### Table 1: Values of \( \sum_{k=0}^r P(k; \mu) \) for \(\mu\) ranging from 0.1 to 1.0

|   \( r \) |   0.1  |   0.2  |   0.3  |   0.4  |   0.5  |   0.6  |   0.7  |   0.8  |   0.9  |
| --- | ---   | ---   | ---   | ---   | ---   | ---   | ---   | ---   | ---   |
| 0 | 0.9048 | 0.8187 | 0.7408 | 0.6703 | 0.6065 | 0.5488 | 0.4966 | 0.4493 | 0.4066 |
| 1 | 0.9933 | 0.9825 | 0.9631 | 0.9360 | 0.9025 | 0.8638 | 0.8209 | 0.774  | 0.7241 |
| 2 | 0.9995 | 0.9972 | 0.9916 | 0.9826 | 0.9706 | 0.9558 | 0.9385 | 0.9188 | 0.8966 |
| 3 | 0.9999 | 0.9996 | 0.9983 | 0.9952 | 0.9905 | 0.9842 | 0.9762 | 0.9667 | 0.9555 |
| 4 | 1.0000 | 0.9999 | 0.9997 | 0.9987 | 0.9965 | 0.9933 | 0.9891 | 0.9838 | 0.9773 |
| 5 | 1.0000 | 1.0000 |
Transcribed Image Text:### Poisson Probability Sums The following tables provide the sums of Poisson probabilities \( \sum_{k=0}^r P(k; \mu) \) for various values of the parameters \( r \) and \( \mu \). #### Table 1: Values of \( \sum_{k=0}^r P(k; \mu) \) for \(\mu\) ranging from 0.1 to 1.0 | \( r \) | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0 | 0.9048 | 0.8187 | 0.7408 | 0.6703 | 0.6065 | 0.5488 | 0.4966 | 0.4493 | 0.4066 | | 1 | 0.9933 | 0.9825 | 0.9631 | 0.9360 | 0.9025 | 0.8638 | 0.8209 | 0.774 | 0.7241 | | 2 | 0.9995 | 0.9972 | 0.9916 | 0.9826 | 0.9706 | 0.9558 | 0.9385 | 0.9188 | 0.8966 | | 3 | 0.9999 | 0.9996 | 0.9983 | 0.9952 | 0.9905 | 0.9842 | 0.9762 | 0.9667 | 0.9555 | | 4 | 1.0000 | 0.9999 | 0.9997 | 0.9987 | 0.9965 | 0.9933 | 0.9891 | 0.9838 | 0.9773 | | 5 | 1.0000 | 1.0000 |
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