Question

A factory produces two types of bulbs. Bulb 1 is produced with probability 0.6 and has...

A factory produces two types of bulbs. Bulb 1 is produced with probability 0.6 and has a lifetime which is geometrically distributed with parameter 0.2. Bulb 2 is produced with probability 0.4 and has a lifetime which is geometrically distributed with parameter 0.4. Let X be the lifetime of a device produced by the factory. What is the mean and variance of X ? Note: For a geometric distribution with parameter p, P(X = k) = (1 − p) k−1p, k ∈ {1, 2, 3, . . .}.

Homework Answers

Answer #1

The life of the bulb is given by the random variable

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Question about the geometric distribution case 1 let say S=0.6 ,F=0.4 the probability that I succeed...
Question about the geometric distribution case 1 let say S=0.6 ,F=0.4 the probability that I succeed in the fifth trial is 0.4^4*0.6=0.015 Case.2 let says S=0.4,F= 0.6 the probability that I succeed in the fifth trial is 0.6^4*0.4=0.065 my question is that how come even if I have higher successful probability 0.6  but the probability succeed in the fifth trial will be less than case 2 which has less successful probability 0.4 please explain, in my understanding is that I should...
1.) Which of the following could be a legitimate probability distribution? Group of answer choices X...
1.) Which of the following could be a legitimate probability distribution? Group of answer choices X 0.3 0.7 P(X) - 0.5 1.5 X - 4 1.5 10 P(X) - 0.6 0.1 0.3 X 1 2 3 P(X) 0.4 0.3 0.2 X - 1 -2 - 3 P(X) 1.2 0.6 0.3 None of the above are legitimate probability distributions.
Find the probability of a Type I error. A) 1/5 B) 0.4 C) 0.5​ D) 0.6...
Find the probability of a Type I error. A) 1/5 B) 0.4 C) 0.5​ D) 0.6 E) 0.7. There are 5 black, 3 white, and 4 yellow balls in a box (see picture below). Four balls are randomly selected with replacement. Let M be the number of black balls selected. Find P[M =2]. A) Less than 10% B) Between 10% and 30% C) Between 30% and 43% D) Between 43% and 60% E) Bigger than 60%. Use the following information...
Brighter Ideas produces two types of residential light bulbs: incandescent and halogen. Brighter Ideas has four...
Brighter Ideas produces two types of residential light bulbs: incandescent and halogen. Brighter Ideas has four manufacturing sites for its light bulbs and two principal markets, but they do not know how to ship their product to best satisfy demand over the coming week. Brighter Ideas four manufacturing centers are Phoenix, Portland, Madison, and Rochester with a weekly production potential of 2,000, 13,000, 6,000, and 15,000 respectively for the incandescent bulbs and 19,000, 9,000, 9,000, and 8,000 respectively for the...
Problem 8. A company that manufactures shoes has three factories. Factory 1 produces 25% of the...
Problem 8. A company that manufactures shoes has three factories. Factory 1 produces 25% of the company's shoes, Factory 2 produces 60%, and Factory 3 produces 15%. One percent of the shoes produced by Factory 1 are mislabeled, 0.5% of those produced by Factory 2 are mislabeled, and 2% of those produced by Factory 3 are mislabeled. If you purchase one pair of shoes manufactured by this company, what is the probability that the shoes are mislabeled?
A factory produces a gear that has a label weight of 20.4 grams. Assume that the...
A factory produces a gear that has a label weight of 20.4 grams. Assume that the distribution of the weights of these gears is N(21.37,0.16),N(21.37,0.16), that is, a normal distribution with meanμ=21.37μ=21.37and variance of σ2=0.16.σ2=0.16. Let XX denote the weight of a single gear selected at random from the production line. (a) Find P(X>22.07)P(X>22.07). [2 marks] (b) Suppose that 15 gears are selected independently and weighed. Let YY be the number of these gears that weigh less than 20.857 grams....
Question 1 Suppose that the scores of the semester exam has a normal distribution with mean...
Question 1 Suppose that the scores of the semester exam has a normal distribution with mean of 120 and standard deviation of 17. If the bottom 30% of the students failed in the exam. (1). What was the passing score? Question 2 A 100-watt light bulb has an average brightness of 1640 lumens, with a standard deviation of 62 lumens. Suppose that the brightness of bulbs follows normal distribution, then (2). In a lot of 10000 such bulbs, what would...
Remington Textiles has a mill that produces three types of fabrics on a make-to-order basis. The...
Remington Textiles has a mill that produces three types of fabrics on a make-to-order basis. The mill operates on a 24/7 basis. The key decision facing the plant manager is about the type of loom needed to process each fabric during the coming 12 weeks to meet demands for the three fabrics and not exceed the capacity of the looms in the mill. Two types of looms are used: Jaquard and Northrop. Jaquard looms can be used to make all...
Remington Textiles has a mill that produces three types of fabrics on a make-to-order basis. The...
Remington Textiles has a mill that produces three types of fabrics on a make-to-order basis. The mill operates on a 24/7 basis. The key decision facing the plant manager is about the type of loom needed to process each fabric during the coming 12 weeks to meet demands for the three fabrics and not exceed the capacity of the looms in the mill. Two types of looms are used: Jaquard and Northrop. Jaquard looms can be used to make all...
1. The probability that a student has a Visa card (event V) is 0.30. The probability...
1. The probability that a student has a Visa card (event V) is 0.30. The probability that a student has a MasterCard (event M) is 0.40. The probability that a student has both cards is 0.12. (1) Find the probability that a student has either a Visa card or a MasterCard. (2) In this problem, are V and M independent? Why? 2. This is a contingency table describes 100 business students. Gender Major Female(F) Male(M) Accounting (A) 22 28 Economics(E)...