a. P(0) = (Round to four decimal places as needed.) b. P(1) = (Round to four decimal places as needed.) c. P(2) = (Round to four decimal places as needed.) d. P(3) = (Round to four decimal places as needed.) e. P(4) =| (Round to four decimal places as needed.) The actual results consisted of 169 city-years with 0 homicides; 86 city-years with one homicide; 21 city-years with two homicides; 4 city-years with three homicides; 0 city-years with four homicides. Compare the actual results to those expected by using the Poisson probabilities. Does the Poisson distribution serve as a good tool for predicting the actual results? No, the results from the Poisson distribution probabilities do not match the actual results. Yes, the results from the Poisson distribution probabilities closely match the actual results.

a. P(0) = (Round to four decimal places as needed.) b. P(1) = (Round to four decimal places as needed.) c. P(2) = (Round to four decimal places as needed.) d. P(3) = (Round to four decimal places as needed.) e. P(4) =| (Round to four decimal places as needed.) The actual results consisted of 169 city-years with 0 homicides; 86 city-years with one homicide; 21 city-years with two homicides; 4 city-years with three homicides; 0 city-years with four homicides. Compare the actual results to those expected by using the Poisson probabilities. Does the Poisson distribution serve as a good tool for predicting the actual results? No, the results from the Poisson distribution probabilities do not match the actual results. Yes, the results from the Poisson distribution probabilities closely match the actual results.

Name: Data from 14 cities were combined for a 20-year period, and the total
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Description: Data from 14 cities were combined for a 20-year period, and the total 280 city-years included a total of 140 homicides. After finding the meannumber of homicides per city-year, find the probability that a randomly selected city-year has the followin

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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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

Data from 14 cities were combined for a 20-year period, and the total 280 city-years included a total of 140 homicides. After finding the mean
number of homicides per city-year, find the probability that a randomly selected city-year has the following numbers of homicides, then compare the
actual results to those expected by using the Poisson probabilities:
Homicides each city-year
а. О
b. 1
с. 2
d. 3
е. 4
Actual results
169
86
21
4
а. Р(0) %
(Round to four decimal places as needed.)
b. P(1) =
(Round to four decimal places as needed.)
с. Р(2) %3D| |
(Round to four decimal places as needed.)
=
d. P(3) =
(Round to four decimal places as needed.)
e. P(4) =
(Round to four decimal places as needed.)
The actual results consisted of 169 city-years with 0 homicides; 86 city-years with one homicide; 21 city-years with two homicides; 4 city-years with
three homicides; 0 city-years with four homicides. Compare the actual results to those expected by using the Poisson probabilities. Does the
Poisson distribution serve as a good tool for predicting the actual results?
No, the results from the Poisson distribution probabilities do not match the actual results.
Yes, the results from the Poisson distribution probabilities closely match the actual results.

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