m16807 Continuous Random Variables: Homework 1.10 2008/06/13 15:42:10 GMT-5 2009/02/18 19:50:12.898 US/Central Susan Dean Susan Dean deansusan@deanza.edu Barbara Illowsky Dr. Barbara Illowsky illowskybarbara@deanza.edu Susan Dean Susan Dean deansusan@deanza.edu Barbara Illowsky Dr. Barbara Illowsky illowskybarbara@deanza.edu Connexions Connexions cnx@cnx.org Maxfield Foundation Maxfield Foundation cnx@cnx.org continuous distribution elementary function graph homework random statistics variables Mathematics and Statistics This module provides a number of homework exercises related to Continuous Random Variables. en Download handout (.doc) Download handout (.pdf) For each probability and percentile problem, DRAW THE PICTURE! Consider the following experiment. You are one of 100 people enlisted to take part in a study to determine the percent of nurses in America with an R.N. (registered nurse) degree. You ask nurses if they have an R.N. degree. The nurses answer “yes” or “no.” You then calculate the percentage of nurses with an R.N. degree. You give that percentage to your supervisor. aWhat part of the experiment will yield discrete data? b What part of the experiment will yield continuous data? When age is rounded to the nearest year, do the data stay continuous, or do they become discrete? Why? Births are approximately uniformly distributed between the 52 weeks of the year. They can be said to follow a Uniform Distribution from 1 – 53 (spread of 52 weeks). a X size 12{X} {} ~ b Graph the probability distribution. c f ( x ) size 12{f \( x \) } {} = d μ size 12{μ} {} = e σ size 12{σ} {} = f Find the probability that a person is born at the exact moment week 19 starts. That is, find P ( X = 19 ) size 12{P \( X="19" \) } {} . g P ( 2 < X < 31 ) = size 12{P \( 2<X<"31" \) ={}} {} h Find the probability that a person is born after week 40. i {} P ( 12 < X ∣ X < 28 ) size 12{P \( "12"<X \lline X<"28" \) } {} = j Find the 70th percentile. k Find the minimum for the upper quarter. a X ~ U ( 1, 53 ) size 12{X " ~ " U \( 1,"53" \) } {} c f(x)=152 size 12{f \( x \) = { {1} over { \( b - a \) } } = { {1} over { \( "53" - 1 \) } } = { {1} over {"52"} } } {} where 1≤x≤53 size 12{1 <= x <= "53"} {} d 27 e15.01 f 0 g 2952 h 1352 i 1627 j 37.4 k 40 A random number generator picks a number from 1 to 9 in a uniform manner. a X ~ size 12{X "~" } {} b Graph the probability distribution. c f ( x ) = size 12{f \( x \) ={}} {} d μ = size 12{μ={}} {} e σ = size 12{σ={}} {} f P ( 3 . 5 < X < 7 . 25 ) = size 12{P \( 3 "." 5<X<7 "." "25" \) ={}} {} g P ( X > 5 . 67 ) = size 12{P \( X>5 "." "67" \) ={}} {} h P ( X > 5 ∣ X > 3 ) = size 12{P \( X>5 \lline X>3 \) ={}} {} i Find the 90th percentile. The speed of cars passing through the intersection of Blossom Hill Road and the Almaden Expressway varies from 10 to 35 mph and is uniformly distributed. None of the cars travel over 35 mph through the intersection. a X = size 12{X={}} {} b X ~ size 12{X "~" } {} c Graph the probability distribution. d f ( x ) = size 12{f \( x \) ={}} {} e μ = size 12{μ={}} {} f σ = size 12{σ={}} {} g What is the probability that the speed of a car is at most 30 mph? h What is the probability that the speed of a car is between 16 and 22 mph. i P(20<X<53)= size 12{P \( "20"<X<"53" \) ={}} {} State this in a probability question (similar to g and h ), draw the picture, and find the probability. j Find the 90th percentile. This means that 90% of the time, the speed is less than _____ mph while passing through the intersection per minute. k Find the 75th percentile. In a complete sentence, state what this means. (See j.) l Find the probability that the speed is more than 24 mph given (or knowing that) it is at least 15 mph. b X ~ U ( 10 , 35 ) size 12{X "~" U \( "10","35" \) } {} d f(x)=125 where 10≤X≤35 e 452 f 7.22 g 45 h 625 i35 j 32.5 k 28.75 l 1120 According to a study by Dr. John McDougall of his live-in weight loss program at St. Helena Hospital, the people who follow his program lose between 6 and 15 pounds a month until they approach trim body weight. Let’s suppose that the weight loss is uniformly distributed. We are interested in the weight loss of a randomly selected individual following the program for one month. (Source: The McDougall Program for Maximum Weight Loss by John A. McDougall, M.D.)a X = size 12{X={}} {} b X ~ size 12{X "~" } {} c Graph the probability distribution. d f ( x ) = size 12{f \( x \) ={}} {} e μ = size 12{μ={}} {} f σ = size 12{σ={}} {} g Find the probability that the individual lost more than 10 pounds in a month. h Suppose it is known that the individual lost more than 10 pounds in a month. Find the probability that he lost less than 12 pounds in the month. i P ( 7 < X < 13 ∣ X > 9 ) = size 12{P \( 7<X<"13" \lline X>9 \) ={}} {} State this in a probability question (similar to g and h), draw the picture, and find the probability. A subway train on the Red Line arrives every 8 minutes during rush hour. We are interested in the length of time a commuter must wait for a train to arrive. The time follows a uniform distribution.a X = size 12{X={}} {} b X ~ size 12{X "~" } {} c Graph the probability distribution. d f ( x ) = size 12{f \( x \) ={}} {} e μ = size 12{μ={}} {} f σ = size 12{σ={}} {} g Find the probability that the commuter waits less than one minute. h Find the probability that the commuter waits between three and four minutes. i 60% of commuters wait more than how long for the train? State this in a probability question (similar to g and h), draw the picture, and find the probability. b X ~ U ( 0,8 ) size 12{X "~" U \( 0,8 \) } {} d f(x)=18 where 0≤X≤8 e 4 f 2.31 g 18 h 18 i 3.2 The age of a first grader on September 1 at Garden Elementary School is uniformly distributed from 5.8 to 6.8 years. We randomly select one first grader from the class.a X = size 12{X={}} {} b X ~ size 12{X "~" } {} c Graph the probability distribution. d f ( x ) = size 12{f \( x \) ={}} {} e μ = size 12{μ={}} {} f σ = size 12{σ={}} {} g Find the probability that she is over 6.5 years. h Find the probability that she is between 4 and 6 years. i Find the 70th percentile for the age of first graders on September 1 at Garden Elementary School. Let X~ size 12{X "~" } {}Exp(0.1)a decay rate= b μ = size 12{μ={}} {} c Graph the probability distribution function. d On the above graph, shade the area corresponding to P(X<6) size 12{P \( X<6 \) } {} and find the probability. e Sketch a new graph, shade the area corresponding to P(3<X<6) size 12{P \( 3<X<6 \) } {} and find the probability. f Sketch a new graph, shade the area corresponding to P(X>7) size 12{P \( X>7 \) } {} and find the probability. g Sketch a new graph, shade the area corresponding to the 40th percentile and find the value. h Find the average value of X size 12{X} {}. a 0.1 b 10 d 0.4512 e 0.1920 f0.4966 g5.11 h 10 Suppose that the length of long distance phone calls, measured in minutes, is known to have an exponential distribution with the average length of a call equal to 8 minutes.a X = size 12{X={}} {} b Is X size 12{X} {} continuous or discrete? c X ~ size 12{X "~" } {} d μ = size 12{μ={}} {} e σ = size 12{σ={}} {} f Draw a graph of the probability distribution. Label the axes. g Find the probability that a phone call lasts less than 9 minutes. h Find the probability that a phone call lasts more than 9 minutes. i Find the probability that a phone call lasts between 7 and 9 minutes. j If 25 phone calls are made one after another, on average, what would you expect the total to be? Why? Suppose that the useful life of a particular car battery, measured in months, decays with parameter 0.025. We are interested in the life of the battery.a X = size 12{X={}} {} b Is X size 12{X} {} continuous or discrete? c X ~ size 12{X "~" } {} d On average, how long would you expect 1 car battery to last? e On average, how long would you expect 9 car batteries to last, if they are used one after another? f Find the probability that a car battery lasts more than 36 months. g 70% of the batteries last at least how long? c X ~ Exp ( 0.025 ) size 12{X "~" "Exp" \( { {1} over {5} } \) } {} d 40 months e 360 months f0.4066 g 14.27 The percent of persons (ages 5 and older) in each state who speak a language at home other than English is approximately exponentially distributed with a mean of 9.848 . Suppose we randomly pick a state. (Source: Bureau of the Census, U.S. Dept. of Commerce)a X = size 12{X={}} {} b Is X size 12{X} {} continuous or discrete? c X ~ size 12{X "~" } {} d μ = size 12{μ={}} {} e σ = size 12{σ={}} {} f Draw a graph of the probability distribution. Label the axes. g Find the probability that the percent is less than 12. h Find the probability that the percent is between 8 and 14. i The percent of all individuals living in the United States who speak a language at home other than English is 13.8 . i Why is this number different from 9.848%? ii What would make this number higher than 9.848%? The time (in years) after reaching age 60 that it takes an individual to retire is approximately exponentially distributed with a mean of about 5 years. Suppose we randomly pick one retired individual. We are interested in the time after age 60 to retirement.a X = size 12{X={}} {} b Is X size 12{X} {} continuous or discrete? c X ~ size 12{X "~" } {} d μ = size 12{μ={}} {} e σ = size 12{σ={}} {} f Draw a graph of the probability distribution. Label the axes. g Find the probability that the person retired after age 70. h Do more people retire before age 65 or after age 65? i In a room of 1000 people over age 80, how many do you expect will NOT have retired yet? c X ~ Exp ( 1 5 ) size 12{X "~" "Exp" \( { {1} over {5} } \) } {} d 5 e 5 g0.1353 h Before i 18.3 The cost of all maintenance for a car during its first year is approximately exponentially distributed with a mean of $150.a X = size 12{σ={}} {} b X ~ size 12{X "~" } {} c μ = size 12{μ={}} {} d σ = size 12{σ={}} {} e Draw a graph of the probability distribution. Label the axes. f Find the probability that a car required over $300 for maintenance during its first year.

The next three questions refer to the following information. The average lifetime of a certain new cell phone is 3 years. The manufacturer will replace any cell phone failing within 2 years of the date of purchase. The lifetime of these cell phones is known to follow an exponential distribution. The decay rate is A 0.3333 B 0.5000 C 2.0000 D 3.0000 A What is the probability that a phone will fail within 2 years of the date of purchase? A 0.8647 B 0.4866 C 0.2212 d 0.9997 B What is the median lifetime of these phones (in years)? A 0.1941 B 1.3863 C 2.0794 D 5.5452 C The next three questions refer to the following information. The Sky Train from the terminal to the rental car and long term parking center is supposed to arrive every 8 minutes. The waiting times for the train are known to follow a uniform distribution. What is the average waiting time (in minutes)? A 0.0000 B 2.0000 C 3.0000 D 4.0000 D Find the 30th percentile for the waiting times (in minutes). A 2.0000 B 2.4000 C 2.750 D 3.000 B The probability of waiting more than 7 minutes given a person has waited more than 4 minutes is? A 0.1250 B 0.2500 C 0.5000 D 0.7500 B