A box of bulbs is inspected. The inspector draws a bulb randomly and independently, and tests it until he finds 10 defective bulbs. Suppose 5% of all bulbs are defective. Let X be the number of bulbs tested in order to find 10 defective bulbs.
• A) What is the distribution of X?
• B) What is the expected number of bulbs that must be tested in order to get 10 defective bulbs?
• C) What is the variance of X?
• D) What is the probability that 15 bulbs will be tested in order to find
10 defective bulbs?
1.A box of billiard balls is inspected. The inspector draws a ball randomly and independently until he finds a ball with a certain brand. It is known that 10% of all balls have that specific brand.
• a). What is the probability distribution function of 𝑋?
• b). What is 𝐸(𝑋) , 𝑉(𝑋) and 𝑀𝑋(𝑡) ?
• c). What is the probability that 10 balls will be drawn before finding one ball with the required brand?
2.A fair coin is flipped until a head occurs. What is the probability that less than 3 flips are required; that less than 4 flips are required?
1.....Let X be a random variable with a binomial distribution. Then
E(X) = np
V(X) = npq
Mx(t) = (pet + q)n
Using the direct method, prove the above theorems.
2.....9% of students in the class have their bank balances greater than M500. Suppose that 10 students are selected at random to be interviewed about their bank balances
i) What is the probability that two students will have their bank balances greater than M500?
ii) What is the probability that none will have a bank balance greater than M500?
1.Let the random variable X be the total number of heads when a fair coin is tossed 4 times.
•Is this a Bernoulli or binomial trial/experiment?
•Are the conditions of a Binomial trial satisfied?
•Find the probability mass function for X.
2. The probability that the patient recovers from a rare blood disease is 0.4. If 10 people are known to have contracted the disease, what is the probability that
a) exactly 3 patients survive the disease?
b) from 3 to 5 patients survive the disease?
3. Suppose that a student is given a test with 10 true-false questions. Let X be the number of questions guessed correctly by the student.
i) Write down the probability distribution (probability mass function) of X
ii) What is the probability that the student guesses all questions correctly?
iii) what is the probability that is the probability that the student guesses 7 or more questions
correctly?
• a) E[X] = p
• b) V[X] = pq = p(1-p)
• c) MX(t) = pet + q
• Prove the above equalities.
2.Let 𝑋 be a Bernoulli probability mass function with
MX(t) = pet + q
Derive the mean and variance of 𝑋.
1. The hydrogenation of benzene to cyclohexane is promoted with a finely divided porous nickelcatalyst.
The catalyst particles can be consideredtobespheresofvarioussizes.Allthe particleshave masses between 10 𝑎nd 70 𝜇g. Let 𝑋 be themassofarandomly chosen particle.The probability density function of 𝑋 is given by
f(x) = "\\begin{Bmatrix}\n \\frac{x-10}{1800} ,& 10<x<70 \\\\\n 0, & otherwise\n\\end{Bmatrix}"
A) What proportion of particles have masses less than 50𝜇g?
B) Find the mean mass of the particles.
C) Find the standard deviation of the particles masses.
Find the cumulative distribution function of the particle masses.
2. A process that manufactures piston rings produces rings whose diameters (in centimeters) varyaccording to the probability density function
f(x) = "\\begin{Bmatrix}\n 3[3-16(x-10)^2], & 9.75 <x<10.25 \\\\\n 0, & otherwise\n\\end{Bmatrix}"
a)Is the above function a probability density function?
b) find the mean and standard deviation of diameter of rings manufactured by this process.
a) Given a probability distribution of some discrete distribution as
px(x) = "\\theta"x (1 - "\\theta") 1 - x, 0 "\\leq x \\leq 1"
• Find the moment generating function of X.
b) Given a probability distribution of some continuous distribution as
fx(x) = "\\begin{Bmatrix}\n \\frac {1}{10}, & 20 \\leq x \\leq 30 \\\\\n 0, & elsewhere\n\\end{Bmatrix}"
• Find the moment generating function of X.
Suppose that the only 2 possible values of a random variable 𝑋are 0 and 1.
• Let 𝑃[𝑋 = 0] = 0.1
• 𝑃[𝑋 = 1] = 0.9
• Find the kth moment of the random variable 𝑋.
FIND THE MEAN OF THE SET OF DATA BELOW AND CONSTRUCT A SAMPLING DISTRIBUTION
BY SELECTING 3 SAMPLES AT A TIME: 7 10 14 17 20
• Let x1 = −1, x2 = 0, x3 = 1, x4 = 2.
• Find the first 4 central moments