1) A particular professor never dismisses class early. Let x denote the amount of time past the hour (minutes) that elapses before the professor dismisses class. Suppose that x has a uniform distribution on the interval from 0 to 10 minutes. The density curve is shown in the following figure:
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- Below is a graph of a normal distribution with mean u = -2 and standard deviation o = 3. The shaded region represents the probability of obtaining a value from this distribution that is between -5 and -0.5. 0.4- 0.3- 0.2- .1- -5 - 0.5Below is the probability density function for the distance, in inches, that a dart thrown by your professor lands from the “bullseye” of a dart board. The equation of the curve is: d(x) = 1/4 − 1/32 x a.What’s the probability that a dart will land less that 8 inches from the bullseye? b.What’s the probability that a dart will land between 2 and 4 inches from the bullseye? c.What’s the probability that a dart will land exactly 2 inches from the bullseye? Ex- plain. d.What’s the probability that a dart will land less than 6 inches away from the bullseye?Let x denote the lifetime (in thousands of hours) of a certain type of fan used in diesel engines. The density curve of x is as pictured below. 50 € (a) Shade the area under the curve corresponding to the probability that the lifetime is at least 25,000 hours. 0 00 24 25 24 50 (b) Shade the area under the curve corresponding to the probability that the lifetime exceeds 25,000 hours. 0 50 25 00 25 50 50 ⓇO⁰ 25 25 50 50 Ⓡ0⁰ Oo 26 26 50 50 C
- variable has the density curve whose equation is ? = 2x for 0 < ? < 1, and ? = 0 otherwise. d) What percentage of all possible observations of the variable are at most 3/8? e) What percentage of all possible observations of the variable are at least 1/4? f) What percentage of all possible observations of the variable lie between 1/2 and 3/4?Data are obtained on the location of incidents on a 12-kilometer-long bridge. The distribution of the distance along the bridge (in kilometers) where an incident occurs is depicted in the density curve below. 12 Distance (kilometers) along the bridge where an accident occurs 12 1. The probability of an incident that occurs in any 4 kilometers long bridge segment is always distributed over any 4-kilometer interval. A. 1/3, uniformly B. 1/3, not uniformly C. 1/6, uniformly D. 1/2, not uniformly To put it another way, the probability is 2. What is P(9 < X < 12)? 1 Same as P(2 < X < 5). 2. Same as P(2 s X < 5). 3. Same as P(2 < X < 5). 4. Same as P(2 < X < 5). A. 1 B. 1 and 2 C. 2, 3, and 4 D. 1. 2. 3, and 4a. b. Let X have a gamma distribution with a=2 and 3-2. What is P(X>2)? Let X have a log-normal distribution with u-3.5 and o=1.2. Find P(50#1 pleaseAccording to a study, the maximum temperature T (in degrees Celsius) of each day during the spring has a distribution with the following function density: 21Let x be the amount of time (in minutes) that a particular commuter will have to wait for atrain.Suppose that the distribution is uniform and ranges between 0 and 20 minutes.a. Draw the density curve for x.b. Find the value of the height.c. What is the probability that x is more than 8 minutes?d. What is the probability that x is between 7 and 15 minutes?e. Find the value of c for which P(x < c) = 0.7.6.30 A particular professor never dismisses class early. Let denote the amount of additional time tin minutes) that elaps- es before the professor dismises elass. Supose that t has a uniform distribution on the interval from 0 to 10 minutes. The density curve is shown in the following figure: Density 10 Time 10 (minutes)37Assume that the variable under consideration has a density curve. The area under the density curve that lies to the right of 20 is 0.368. a. What percentage of all possible observations of the variable exceed 20? b. What percentage of all possible observations of the variable are at most 20? a. ___________% (Type an integer or a decimal.) b. ___________% (Type an integer or a decimal.)SEE MORE QUESTIONSRecommended textbooks for youMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. FreemanMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman