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Given P(E) = 0.25, P(F) = 0.6, and P(E ∪ F) = 0.7.
Find:


a.    What is the probability of the first selected person is a left-handed men and the second selected person is a right-handed men?

 


The number of visits to a website in one hour has the following probability mass function

{1/10 , 𝑥=0

𝑝(𝑥)={ 𝑘𝑥/10 , 𝑥=1,2,3

{𝑘(6−𝑥)15, 𝑥=4,5


a) Determine the value of 𝑘.


With the value of 𝑘 obtained:

b) Find the probability of having

i) 3 visits in one hour.

ii) less than 2 visits in one hour.

iii) more than 6 visits in two hours.


c) By using central limit theorem, estimate the probability of having less than 253 visits in 100 hours.


a) A box contains 25 Balls, 20% of them are white whereas the rest of them are black. A person randomly chooses 3 balls from the box without replacement, find the probability of getting 3 black balls.


b) 20% of all Malaysian citizens are under the age of 15. A company randomly chooses 3 Malaysian citizens (without replacement), find the probability that all the three people chosen are age 15 or older.



The thickness of books in a bookstore follows a normal distribution with the mean of 45mm and the standard deviation of 12mm.

a) A book is obtained from the bookstore, find the probability that

i) The book is thinner than 30mm.

ii) The book’s thickness is between 34mm and 50mm.

b) 10 books are chosen from the bookstore at random, the mean thickness of that 10 books, 𝑋̅10, is measured. Find the probability that 𝑋̅10 lies between 43mm to 47mm.

c) 𝑛 books are chosen from the bookstore at random, the mean thickness of that 𝑛 books, 𝑋̅𝑛, is measured. Find the smallest value of 𝑛 so that P(44<𝑋̅𝑛<46)≥0.99 .


In a school, 60% of the students take a foreign language class and 20% of
students take both foreign language and technology. What is the probability that a student takes technology given that the students takes foreign language?
(a) Let A = {2,4,6} and B = {x,y,z}. State each of the following are relations from A into B.
(i) R1 = {(2,x), (y,4), (6,z)}
(ii) R2 = {(4,y), (y,4)}
(iii) R3 = {(2,x), (4,y), (6,z)}
(iv) R4 = {(4,y), (6,x), (4,x)}
(v) R5 = {(x,2), (4,z), (2,z), (6,y)}
suppose x is a normally distributed random variable with μ = 50 and ϭ = 3. find a value of the random variable, call it x0, such that a. p(x ≤ x0) = 0.8413 b. p(x > x0) = 0.25 c. p(x > x0) = 0.95 d. p(41 ≤ x < x0) = 0.8630 e. 10% of the values of x are less than x0. f. 1% of the values of x are greater than x0.
CRASH 4.102 NHTSA crash safety tests. Refer to Exercise 4.21 (p. 195) and the NHTSA crash test data for new cars. One of the variables saved in the accompanying file is the severity of a driver's head injury when the car is in a head-on collision with a fixed barrier while traveling at 35 miles per hour. The more points assigned to the head-injury rating, the more severe the injury. The head-injury ratings can be shown to be approximately normally distributed with a mean of 605 points and a standard deviation of 185 points. One of the crash-tested cars is randomly selected from the data, and the driver's head-injury rating is observed. a. Find the probability that the rating will fall between 500 and 700 points. b. Find the probability that the rating will fall between 400 and 500 points. c. Find the probability that the rating will be less than 850 points. d. Find the probability that the rating will exceed 1,000 points. e. Find the 10th percentile. f. Find the 95th percentile. Please do it step by step
Suppose x is a normally distributed random variable with μ = 50 and Ϭ = 3. Find a value of the random variable, call it x0, such that a. P(x ≤ x0) = 0.8413 b. P(x > x0) = 0.25 c. P(x > x0) = 0.95 d. P(41 ≤ x < x0) = 0.8630 e. 10% of the values of x are less than x0. f. 1% of the values of x are greater than x0.
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