For a 4-units class like Statistics, students should spend average of 12 hours studying for the class. A surv was done on students, and the distribution of total study hours per week is bell-shaped with a mean of 1 hours and a standard deviation of 2 hours. Jse the Empirical Rule to answer the following questions. a) 95% of the students have study hours that are between and :) What percentage of the students have study hours that are below 20? %

estioh 20 For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 27 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 2.6 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week. Question Help: Written Example > Next Question DD 888 F9 80 FB F7 F6 F5 F4 F3 F2 F1 & 23 2$ 8. 9. 7 1 2 3 T Q W K H S F 8: < CO

For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 22 students, and the distribution of total study hours per week is bell-shaped with a mean of 12 hours and a standard deviation of 2.6 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week. Check Answer 100% 69°F Cloudy

A company has a policy of retiring company cars; this policy looks at number of miles driven, purpose of trips, style of car and other features. The distribution of the number of months in service for the fleet of cars is bell-shaped and has a mean of 39 months and a standard deviation of 5 months. Using the empirical rule, what is the approximate percentage of cars that remain in service between 24 and 34 months?

A company has a policy of retiring company cars; this policy looks at number of miles driven, purpose of trips, style of car and other features. The distribution of the number of months in service for the fleet of cars is bell-shaped and has a mean of 45 months and a standard deviation of 11 months. Using the Empirical Rule rule, what is the approximate percentage of cars that remain in service between 12 and 23 months?ans =  %

A company has a policy of retiring company cars; this policy looks at number of miles driven, purpose of trips, style of car and other features. The distribution of the number of months in service for the fleet of cars is bell-shaped and has a mean of 65 months and a standard deviation of 6 months. Using the empirical rule (as presented in the book), what is the approximate percentage of cars that remain in service between 53 and 59 months? Do not enter the percent symbol. ans = 96

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A company has a policy of retiring company cars; this policy looks at number of miles driven, purpose of trips, style of car and other features. The distribution of the number of months in service for the fleet of cars is bell-shaped and has a mean of 57 months and a standard deviation of 4 months. Using the empirical rule (as presented in the book), what is the approximate percentage of cars that remain in service between 61 and 65 months?Do not enter the percent symbol.ans = %

For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 22 students, and the distribution of total study hours per week is bell-shaped with a mean of 12 hours and a standard deviation of 2.8 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between 9.215 on Statistics each week. Xhours and 14.785 hours b) 95% of the students spend between 6.512 X hours and 6.512 X hours on Statistics each week. c) 99.7% of the students spend between 20.288 x hours and 20.288 x hours on Statistics each week.