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 of 1.72 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 average sample of 89 days gave the following information. 4 or 1 2 3 more 18 22 17 18 14 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 PG) = where A-1.72 is the average number of accidents per day. Test the statement that the Poisson distribution fits the sample data. Use a 1% level of significance.
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 of 1.72 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 average sample of 89 days gave the following information. 4 or 1 2 3 more 18 22 17 18 14 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 PG) = where A-1.72 is the average number of accidents per day. Test the statement that the Poisson distribution fits the sample data. Use a 1% level of significance.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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use the math problem uploaded to answer the question. Will you reject or fail to reject the null hypothesis? choose one:
a) The P-Value is greater than the level of significance and so we reject the null hypothesis that the variances are equal. At 0.05 level of significance, we conclude that the variance for the first plot is greater than the variance for the second plot.
b) The P-Value is greater than the level of significance and so we fail to reject the null hypothesis that the variances are equal. At 0.05 level of significance, we conclude that the variance for the first plot is equal to the variance for the second plot.
c) The P-Value is greater than the level of significance and so we reject the null hypothesis that the variances are equal. At 0.05 level of significance, we conclude that the variance for the first plot is equal to the variance for the second plot.
d) The P-Value is less than the level of significance and so we fail to reject the null hypothesis that the variances are equal. At 0.05 level of significance, we conclude that the variance for the first plot is greater than the variance for the second plot.
e)The P-Value is less than the level of significance and so we reject the null hypothesis that the variances are equal. At 0.05 level of significance, we conclude that the variance for the first plot is equal to the variance for the second plot.
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