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The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. E Click the icon to view the data table. ... (c) Was the number of fatal accidents for 16 to 20 year old males above or below average? Was the number of fatal accidents for 21 to 24 year old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? The number of fatal accidents for 16 to 20 year old males was V The number of fatal accidents for 21 to 24 year old males was The number of fatal accidents for males greater than 74 years old was

The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. E Click the icon to view the data table. ... (c) Was the number of fatal accidents for 16 to 20 year old males above or below average? Was the number of fatal accidents for 21 to 24 year old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? The number of fatal accidents for 16 to 20 year old males was V The number of fatal accidents for 21 to 24 year old males was The number of fatal accidents for males greater than 74 years old was

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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The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. --- (c) Was the number of fatal accidents for 16 to 20-year-old males above or below average? Was the number of fatal accidents for 21 to 24-year-old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? - The number of fatal accidents for 16 to 20-year-old males was [drop-down menu] - The number of fatal accidents for 21 to 24-year-old males was [drop-down menu] - The number of fatal accidents for males greater than 74 years old was [drop-down menu] An insurance company could use it to argue for higher rates for [drop-down menu] drivers and lower rates for [drop-down menu] drivers. Does the same relationship hold for females? - Yes (radio button) - No (radio button)
Transcribed Image Text:The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. --- (c) Was the number of fatal accidents for 16 to 20-year-old males above or below average? Was the number of fatal accidents for 21 to 24-year-old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? - The number of fatal accidents for 16 to 20-year-old males was [drop-down menu] - The number of fatal accidents for 21 to 24-year-old males was [drop-down menu] - The number of fatal accidents for males greater than 74 years old was [drop-down menu] An insurance company could use it to argue for higher rates for [drop-down menu] drivers and lower rates for [drop-down menu] drivers. Does the same relationship hold for females? - Yes (radio button) - No (radio button)
**Data for Licensed Drivers by Age and Gender** The table provides detailed data on licensed drivers categorized by age and gender, highlighting both the number of drivers and the number of fatal crashes for each category. | Age | Number of Male Licensed Drivers (000s) | Number of Fatal Crashes (Male) | Number of Female Licensed Drivers (000s) | Number of Fatal Crashes (Female) | |------|----------------------------------------|-------------------------------|------------------------------------------|----------------------------------| | < 16 | 12 | 227 | 12 | 77 | | 16-20| 6,424 | 5,180 | 6,139 | 2,113 | | 21-24| 6,918 | 5,016 | 6,816 | 1,522 | | 25-34| 18,068 | 8,595 | 17,664 | 2,780 | | 35-44| 20,406 | 7,990 | 20,086 | 2,742 | | 45-54| 19,898 | 7,131 | 19,984 | 2,285 | | 55-64| 14,374 | 4,527 | 14,441 | 1,514 | | 65-74| 8,194 | 2,274 | 8,422 | 938 | | > 74 | 4,803 | 2,022 | 5,375 | 957 | This table is beneficial for understanding the distribution of licensed drivers and analyzing the impact of age and gender on the likelihood of fatal crashes.
Transcribed Image Text:**Data for Licensed Drivers by Age and Gender** The table provides detailed data on licensed drivers categorized by age and gender, highlighting both the number of drivers and the number of fatal crashes for each category. | Age | Number of Male Licensed Drivers (000s) | Number of Fatal Crashes (Male) | Number of Female Licensed Drivers (000s) | Number of Fatal Crashes (Female) | |------|----------------------------------------|-------------------------------|------------------------------------------|----------------------------------| | < 16 | 12 | 227 | 12 | 77 | | 16-20| 6,424 | 5,180 | 6,139 | 2,113 | | 21-24| 6,918 | 5,016 | 6,816 | 1,522 | | 25-34| 18,068 | 8,595 | 17,664 | 2,780 | | 35-44| 20,406 | 7,990 | 20,086 | 2,742 | | 45-54| 19,898 | 7,131 | 19,984 | 2,285 | | 55-64| 14,374 | 4,527 | 14,441 | 1,514 | | 65-74| 8,194 | 2,274 | 8,422 | 938 | | > 74 | 4,803 | 2,022 | 5,375 | 957 | This table is beneficial for understanding the distribution of licensed drivers and analyzing the impact of age and gender on the likelihood of fatal crashes.
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