The waiting times between a subway departure schedule and the arrival of a passenger are uniformly distributed between 0 and 9 minutes. Find the probability that a randomly selected passengerK has a waiting time greater than 1.25 minutes.e this View an example Get more help.2 LapptxaPFind the probability that a randomly selected passenger has a waiting time greater than 1.25 minutes.(Simplify your answer. Round to three decimal places as needed.)Z1211:3DWSPBSC A&P 2 LapptxxHcommandEDс4A9RFPBSC A&P 2 LapptxI H5VTG6BYHPBSC AMP 2 Lapptx&N8J1M9KPBSC A&P 2 LapptOFHOLPClear allJA(command?Check answeroptionI>*

Given that X~U(a,b) a=0 , b=9 f(x)=1/(b-a) , a <x<b

Answered: The waiting times between a subway…

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 probability that it will snow in a city in December is 0.4 a. find the probability that it will not snow on a given day b. find the probability that it will snow on two consecutive days.
Find the indicated probability and interpret the result. From 1975 through 2020, the mean annual gain of the Dow Jones Industrial Average was 653. A random sample of 34 years is selected from this population. What is the probability that the mean gain for the sample was between 400 and 800? Assume o = 1540. The probability is (Round to four decimal places as needed.) Interpret the result. Select the correct choice and fill in the answer box to complete your choice. (Round to two decimal places as needed.) O A. About OB. About OC. About OD. About % of samples of 46 years will have an annual mean gain between 400 and 800. % of samples of 34 years will have an annual mean gain between 653 and 800. % of samples of 34 years will have an annual mean gain between 400 and 800. % of sampl of 34 years will have an annual mean gain between 400 and 653.
A nervous kicker usually makes 69% of his first field goal attempts. If he makes his first attempt, his success rate rises to 94%. What is the probability that he makes his first two kicks? The probability that the kicker makes his first two kicks is (Round to three decimal places as needed.)
The mean percent of childhood asthma prevalence in 43 cities is 2.38%. A random sample of 30 of these cities is selected. What is the probability that the mean childhood asthma prevalence for the sample is greater than 2.8%? Interpret this probability. Assume that o = 1.25%. The probability is (Round to four decimal places as needed.) Interpret this probability. Select the correct choice below and fill in the answer box to complete your choice. (Round to two decimal places as needed.) O A. About % of samples of 43 cities will have a mean childhood asthma prevalence greater than 2.8%. O B. About % of samples of 30 cities will have a mean childhood asthma prevalence greater than 2.38%. O C. About % of samples of 30 cities will have a mean childhood asthma prevalence greater than 2.8%. Click to select your answer(s). P Type here to search 99+ a (? 1:42 PM 4/11/2021 ho insen 144 ese & t backspace %23 3. %24 4 6. 8 2. Y W tab H. J. K pase 5 R
A basketball player estimates that he makes 58 % of the free throws he takes. If he takes 15 shots, find the probability that he makes 11 of the 15 shots. (Report answer accurate to 4 decimal places.)

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