A police officer randomly selected 621 police records of larceny thefts. The accompanying data represent the...

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A police officer randomly selected 621 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 pocket-picking larcenies unusual? (c) Are bicycle larcenies unusual? Click the icon to view the table. (a) Complete the table below. Data table Type of Larceny Theft Probability Pocket picking 0.014 Purse snatching 0.016 Type of Larceny Theft Number of Offenses Shoplifting 0.236 Pocket picking 9 Purse snatching 10 From motor vehicles 0.367 Shoplifting 146 Motor vehicle accessories 0.130 From motor vehicles 228 Bicycles 0.066 Motor vehicle accessories 81 Bicycles 41 From buildings 0.153 From buildings 95 From coin-operated machines 0.018 From coin-operated machines 11 (Round to three decimal places as needed.) Print Done A police officer randomly selected 621 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 pocket-picking larcenies unusual? (c) Are bicycle larcenies unusual? Click the icon to view the table. (a) Complete the table below. Data table Type of Larceny Theft Probability Pocket picking 0.014 Purse snatching 0.016 Type of Larceny Theft Number of Offenses Shoplifting 0.236 Pocket picking 9 Purse snatching 10 From motor vehicles 0.367 Shoplifting 146 Motor vehicle accessories 0.130 From motor vehicles 228 Bicycles 0.066 Motor vehicle accessories 81 Bicycles 41 From buildings 0.153 From buildings 95 From coin-operated machines 0.018 From coin-operated machines 11 (Round to three decimal places as needed.) Print Done