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You are investigating insurance fraud that manifests itself through claimants who file claims with respect to auto accidents with which they were not involved. Your evidence consists of a distribution of the observed number of claimants per accident and a standard distribution for accidents on which fraud is known to be absent. The two distributions are summarized below: Number of Claimants Observed Number of Standard Probability per Accident Accidents 1 0.25 235 2 .35 335 3 .24 250 4 .11 111 5 .04 47 22 1000 6+ .01 Total 1.00 Determine the result of a chi-square test of the null hypothesis that there is no fraud in the observed accidents.

You are investigating insurance fraud that manifests itself through claimants who file claims with respect to auto accidents with which they were not involved. Your evidence consists of a distribution of the observed number of claimants per accident and a standard distribution for accidents on which fraud is known to be absent. The two distributions are summarized below: Number of Claimants Observed Number of Standard Probability per Accident Accidents 1 0.25 235 2 .35 335 3 .24 250 4 .11 111 5 .04 47 22 1000 6+ .01 Total 1.00 Determine the result of a chi-square test of the null hypothesis that there is no fraud in the observed accidents.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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U.U.S.Stat-T01-P120.

You are investigating insurance fraud that manifests itself through claimants who file claims with respect to auto accidents with which they were not involved. Your evidence consists of a distribution of the observed number of claimants per accident and a standard distribution for accidents on which fraud is known to be absent. The two distributions are summarized below: Number of Claimants Observed Number of Standard Probability per Accident 1 Accidents 0.25 235 2 .35 335 3 .24 250 4 .11 111 5 .04 47 6+ .01 22 Total 1.00 1000 Determine the result of a chi-square test of the null hypothesis that there is no fraud in the observed accidents.
Transcribed Image Text:You are investigating insurance fraud that manifests itself through claimants who file claims with respect to auto accidents with which they were not involved. Your evidence consists of a distribution of the observed number of claimants per accident and a standard distribution for accidents on which fraud is known to be absent. The two distributions are summarized below: Number of Claimants Observed Number of Standard Probability per Accident 1 Accidents 0.25 235 2 .35 335 3 .24 250 4 .11 111 5 .04 47 6+ .01 22 Total 1.00 1000 Determine the result of a chi-square test of the null hypothesis that there is no fraud in the observed accidents.
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