The following table gives the probability distribution for X = classes skipped yesterday by students at a college.Classes skipped, X34120.16 0.09 0.06 0.04Probability(a) What is the probability that a randomly selected student skipped either two or three classes yesterday?00.65(b) What is the probability that a randomly selected student skipped at least one class yesterday?(c) Complete a table that gives the cumulative distribution function for X.k 01234P(X ≤ k)

The question is about discrete probability distribution.Given :

Answered: The following table gives the…

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 distribution for X = number of births in a day at a hospital is as follows. Births, X 0 1 2 3 4 5 6 7 Probability 0.10 0.13 0.21 0.31 0.17 0.05 0.02 0.01 (a) Find P(X ≤ 3). Explain what is measured by this probability. This is the probability that there will be 3 or fewer births.This is the probability that there will be fewer than 3 births. This is the probability that there will be 3 births.This is the probability that there will be more than 3 births.This is the probability that there will be 3 or more births. (b) Explain what is measured by the value of 1 − P(X ≤ 3). This is the probability that there will be 3 or fewer births.This is the probability that there will be fewer than 3 births. This is the probability that there will be 3 births.This is the probability that there will be more than 3 births.This is the probability that there will be 3 or more births.
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ROUND TO FOUR DECIMAL PLACES
The time waiting when a telephone call is placed to an insurance company is uniformly distributed between 0 and 14 minutes. Find the probability that the waiting time is between 2 and 9 minutes.
Crime reports from 2019 indicate that 6.2 motor vehicle thefts occur each hour in the United States. Assume that the distribution of thefts per hour can be approximated by the Poisson probability distribution. Calculate the probability that exactly 4 thefts occur in an hour.
Calculate the mean for the discrete probability distribution
Let X = {Email, In Person, Instant Message, Text Message}; P(Email) = 0.06 P(In Person) = 0.55 P(Instant Message) = 0.24 P(Text Message) = 0.15 Is this model a probability distribution? A. Yes. B. No. C. Maybe.
Suppose the probability distribution of x, the number of defective tires on a randomly selected car checked at a certain inspection station, is given in the following table. 이 p(x) 0.60 0.14 0.05 0.03 0.18 X 0 1 (a) Calculate the mean value of x. 2 3 4 (b) What is the probability that x exceeds its mean value?
plz hurry!
Let x be the number of courses for which randomly selected student at a university is registered. The probability distribution of x appears in the following table. ( all students must be enrolled in between 1 and 7 classes ) x. 1 2 3 4 5 6 7 P (x) ( 0.02 ) ( 0.04 ) (0.09 ) (0.24) ( 0.39 ) ( 0.17 ) ( .05 ) a. Find mean (x) ( round to two decimal places ) B. Find standard deviation of x ( round to two decimal places ) c. What is the probability that x is within 1 standard deviation of the mean? In other words solve: p ( mean of x - standard deviation of x < x < mean of x + standard deviation of x )=
The joint probability distribution of the number X of cars and the number Y of buses per signal cycle at a proposed left-turn lane is displayed in the accompanying joint probability table below. y P(xy) 1 2. 0. .025 .015 .010 .050 .030 020 2. .125 .075 050 3. 150 090 060 4. 100 .060 040 050 .030 .020 Suppose the left-turn lane is to have a capacity of six cars, and that one bus is equivalent to three cars. What is the probability of an overflow duringa cycle? Select one: O 48 O 28 O38 0.18
Suppose the probability distribution of x, the number of defective tires on a randomly selected car checked at a certain inspection station, is given in the following table. x 0 1 2 3 4 p(x) 0.52 0.18 0.05 0.03 0.22 (a) Calculate the mean value of x. (b) What is the probability that x exceeds its m

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