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Questions are on screenshots. Please do not do question 1 (a) (b) (d) (f) (g) E myopenmath.com Metergy Solutions.. Grades BALC Student Servi. Student Course

Questions are on screenshots. Please do not do question 1 (a) (b) (d) (f) (g)

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E myopenmath.com Metergy Solutions.. Grades BALC Student Servi. Student Course Re.. Paige Paz Mejia's Z.. Burnhamthorpe Ad.. MyOpenMath An insurance comp... The Following Tabl. Rounding Calculato. + 31mins X An insurance company survey shows that 86% of all Ontario drivers wear seatbelt. For those who wear seatbelt, it is estimated that the chance of getting a serious injury in a car accident is 13%. For those who do not wear a seatbelt, the chance of getting a serious injury is 68%. If S represents the event of wearing a seatbelt, NVS is the event of not wearing a seatbelt, I is the event of serious injury, and NI is the event of not sustaining a serious injury, then answer the following questions: Seatbealt Injury (iii) (i) (iv) NI (v) (ii) NS (vi) NI Q Round all final answers to 4 decimals. (a) Fill in the probability tree values: (i): (ii): (iii): (iv): (v): (vi) : (b) Write down the results of your probability tree diagram below: myopenmath.com Metergy Solutions.. Grades BALC Student Servi.. Student Course Re. Paige Paz Mejia's Z.. Burnhamthorpe Ad.. MyOpenMath An insurance comp... The Following Tabl. Rounding Calculato. + Round all final answers to 4 decimals. 31mins X (a) Fill in the probability tree values: (2): (ii): (iii): (iv): (v): (vi): (b) Write down the results of your probability tree diagram below: P(S and I) = P(S and NI) = P(NS and I) = P(NS and NI) = (c) If in a randomly selected car accident the driver was seriously hurt, the probability that the driver was not wearing seatbelt is (d) If in a randomly selected car accident the driver was not seriously hurt, the probability that the driver was wearing seatbelt is Question Help: Message instructor Add Work Check Answer myopenmath'com C | wli The following table contains a break-down on the age and gender of mldvlevel managers in one company in Toronto. Age in years under 35 35-44 45-54 55-64 over 64 'l'btal Male 18 9 19 12 ID 78 Female 20 1 19 16 1 57 1btal 38 10 38 23 21 135 Round all final answers to 3 decimal places and express probabilities in decimal form (Le. 0.003 Instead of 0.300%). (a) What is die probability that a randomly selected manager is 3544 years old? (b) What is the probability mat a randomly selected manager is a female? (c) What is the probability that a randomly selected manager is a female and 35-44 years old? 7.407 I (d) What is the probability That a mndomly selected manager is a female or 3544 years old? 0.499 I (e) What is the probability that a randomly selected manager is neither female, nor 3544 years old? 0.385 I (fl What Is the probability that a randomly selected manager is a female given that the manager is 15-44 years old? 01 I (g) What is the probability that a randomly selected manager is 35-44 years old given that the manager is a _._ 3 pl E I 3 no \\ Question Help: BMessage instructor | Adam | | 31mins x .l

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