Reference no: EM132464547

A civil engineer has been studying the frequency of vehicle accidents on a certain stretch of interstate highway. Long-term history indicates that there has been an average of  accidents per day on this section of the interstate. Let r be a random variable that represents number of accidents per day. Let O represent the number of observed accidents per day based on local highway patrol reports. A random sample of  days gave the following information.?

r 0 1 2 3 4 or more O ?

The civil engineer wants to use a Poisson distribution to represent the probability of r, the number of accidents per day. The Poisson distribution is where  is the average number of accidents per day. Test the statement that the Poisson distribution fits the sample data. Use a % level of significance.

Group of answer choices

Since the P-Value is  than the level of significance, we  the null hypothesis that the Poisson distribution  the data. At  level of significance, we conclude that the Poisson distribution  the data.

Since the P-Value is  than the level of significance, we  the null hypothesis that the Poisson distribution  the data. At  level of significance, we conclude that the Poisson distribution  the data.

Since the P-Value is  than the level of significance, we  the null hypothesis that the Poisson distribution  the data. At  level of significance, we conclude that the Poisson distribution  the data.

Since the P-Value is  than the level of significance, we  the null hypothesis that the Poisson distribution  the data. At  level of significance, we conclude that the Poisson distribution  the data.

Since the P-Value is  than the level of significance, we  the null hypothesis that the Poisson distribution  the data. At  level of significance, we conclude that the Poisson distribution  the data.