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A police officer randomly selected 586 police records of larceny thefts. The accompanying data represent the number of offenses for various types of larceny thefts. (a) Construct a probability model for type of larceny theft. (b) Are coin-operated machine larcenies unusual? (c) Are larcenies from buildings unusual? (a) Complete the table below. Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Bicycles From buildings From coin-operated machines (Round to three decimal places as needed.) (b) Choose the correct answer below. Probability Data table Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories. Bicycles From buildings From coin-operated machines Print OA. Yes, because P(coin-operated machine) <0.05. OB. No, because the probability of an unusual event is 0. OC. Yes, because P(coin-operated machine) <0.5 O D. Yes, because there were 9 cases of coin-operated machine larcenies in the randomly selected records. (c) Choose the correct answer below. OA. No, because there were 102 cases of larcenies from buildings larcenies in the randomly selected records. OB. No, because P(larcenies from buildings) > 0.05. OC. Yes, because P(larcenies from buildings) <0.5. O D. No, because the probability of an unusual event is 0. Number of Offenses D 7 8 126 202 82 50 102 9 Done - X

A police officer randomly selected 586 police records of larceny thefts. The accompanying data represent the number of offenses for various types of larceny thefts. (a) Construct a probability model for type of larceny theft. (b) Are coin-operated machine larcenies unusual? (c) Are larcenies from buildings unusual? (a) Complete the table below. Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Bicycles From buildings From coin-operated machines (Round to three decimal places as needed.) (b) Choose the correct answer below. Probability Data table Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories. Bicycles From buildings From coin-operated machines Print OA. Yes, because P(coin-operated machine) <0.05. OB. No, because the probability of an unusual event is 0. OC. Yes, because P(coin-operated machine) <0.5 O D. Yes, because there were 9 cases of coin-operated machine larcenies in the randomly selected records. (c) Choose the correct answer below. OA. No, because there were 102 cases of larcenies from buildings larcenies in the randomly selected records. OB. No, because P(larcenies from buildings) > 0.05. OC. Yes, because P(larcenies from buildings) <0.5. O D. No, because the probability of an unusual event is 0. Number of Offenses D 7 8 126 202 82 50 102 9 Done - X

MATLAB: An Introduction with Applications
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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A police officer randomly selected 586 police records of larceny thefts. The accompanying data represent the number of offenses for various types of larceny thefts. (a) Construct a probability model for type of larceny theft. (b) Are coin-operated machine larcenies unusual? (c) Are larcenies from buildings unusual? (a) Complete the table below. Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Probability Bicycles From buildings From coin-operated machines (Round to three decimal places as needed.) (b) Choose the correct answer below. Data table Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Bicycles From buildings From coin-operated machines Print OA. Yes, because P(coin-operated machine) < 0.05. OB. No, because the probability of an unusual event is 0. OC. Yes, because P(coin-operated machine) <0.5 O D. Yes, because there were 9 cases of coin-operated machine larcenies in the randomly selected records. (c) Choose the correct answer below. O A. No, because there were 102 cases of larcenies from buildings larcenies in the randomly selected records. OB. No, because P(larcenies from buildings) > 0.05. OC. Yes, because P(larcenies from buildings) <0.5. O D. No, because the probability of an unusual event is 0. Number of Offenses 7 8 126 202 82 50 102 9 Done - X
Transcribed Image Text:A police officer randomly selected 586 police records of larceny thefts. The accompanying data represent the number of offenses for various types of larceny thefts. (a) Construct a probability model for type of larceny theft. (b) Are coin-operated machine larcenies unusual? (c) Are larcenies from buildings unusual? (a) Complete the table below. Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Probability Bicycles From buildings From coin-operated machines (Round to three decimal places as needed.) (b) Choose the correct answer below. Data table Type of Larceny Theft Pocket picking Purse snatching Shoplifting From motor vehicles Motor vehicle accessories Bicycles From buildings From coin-operated machines Print OA. Yes, because P(coin-operated machine) < 0.05. OB. No, because the probability of an unusual event is 0. OC. Yes, because P(coin-operated machine) <0.5 O D. Yes, because there were 9 cases of coin-operated machine larcenies in the randomly selected records. (c) Choose the correct answer below. O A. No, because there were 102 cases of larcenies from buildings larcenies in the randomly selected records. OB. No, because P(larcenies from buildings) > 0.05. OC. Yes, because P(larcenies from buildings) <0.5. O D. No, because the probability of an unusual event is 0. Number of Offenses 7 8 126 202 82 50 102 9 Done - X
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