A police officer randomly selected 618 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 shoplifting larcenies unusual? E Click the icon to view the table. (a) Complete the table below. Type of Larceny Theft Probability Pocket picking Purse snatching Data Table Shoplifting From motor vehicles Type of Larceny Theft Pocket picking Purse snatching Shoplifting Number of Offenses Motor vehicle accessories 9 Bicycles 10 139 From buildings From motor vehicles 211 Motor vehicle accessories Bicycles From buildings From coin-operated machines From coin-operated machines 85 (Round to three decimal places as needed.) 38 115 11 Print Done

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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A police officer randomly selected 618 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 shoplifting larcenies unusual?
E Click the icon to view the table.
(a) Complete the table below.
Type of Larceny Theft
Pocket picking
Probability
Purse snatching
Data Table
Shoplifting
From motor vehicles
Type of Larceny Theft
Pocket picking
Purse snatching
Shoplifting
Number of Offenses
Motor vehicle accessories
9
Bicycles
10
139
From buildings
From motor vehicles
211
Motor vehicle accessories
Bicycles
From buildings
From coin-operated machines
From coin-operated machines
85
(Round to three decimal places as needed.)
38
115
11
Print
Done
Transcribed Image Text:A police officer randomly selected 618 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 shoplifting larcenies unusual? E Click the icon to view the table. (a) Complete the table below. Type of Larceny Theft Pocket picking Probability Purse snatching Data Table Shoplifting From motor vehicles Type of Larceny Theft Pocket picking Purse snatching Shoplifting Number of Offenses Motor vehicle accessories 9 Bicycles 10 139 From buildings From motor vehicles 211 Motor vehicle accessories Bicycles From buildings From coin-operated machines From coin-operated machines 85 (Round to three decimal places as needed.) 38 115 11 Print Done
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