Question

Approximately 20% of the lightbulbs produced by a company are defective (and the rest are non-defective)....

  1. Approximately 20% of the lightbulbs produced by a company are defective (and the rest are non-defective). Suppose 3 lightbulbs are selected randomly. Let Y be the random variable showing number of defective lightbulbs.

a)Complete the following probability distribution given in the following table. (You can use binomial distribution formula)

y

p(y)

0

0.512

1

2

3

0.008

  1. Find the mean and variance of the above probability distribution
0 0
Add a comment Improve this question Transcribed image text
Answer #1

Ans:

a)

P(y=k)=3Ck*0.2k*(1-0.2)3-k

P(y=1)=3C1*0.2*(1-0.2)^2=0.384

P(y=2)=3C2*0.2^2*(1-0.2)=0.096

y P(y)
0 0.512
1 0.384
2 0.096
3 0.008

b)

mean=np=3*0.2=0.6

or mean=0*0.512+1*0.384+2*0.096+3*0.008=0.6

Variance=np(1-p)=3*0.2*(1-0.2)=0.48

Variance=(0-0.6)^2*0.512+(1-0.6)^2*0.384+(2-0.6)^2*0.096+(3-0.6)^2*0.008=0.48

Add a comment
Know the answer?
Add Answer to:
Approximately 20% of the lightbulbs produced by a company are defective (and the rest are non-defective)....
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 1. A lightbulb factory produces 567 lightbulbs every hour. Approximately 1.96% of the lightbulbs are defective,...

    1. A lightbulb factory produces 567 lightbulbs every hour. Approximately 1.96% of the lightbulbs are defective, and do not work. What is the expected number of defective bulbs produced in an hour? The answer does not need to be an integer. 2. A lightbulb factory produces 956 lightbulbs every hour. Approximately 2.91% of the lightbulbs are defective, and do not work. What is the standard deviation of the number of defective bulbs produced in an hour? 3.A call center receives...

  • Suppose that in a batch of 500 components, 20 are defective and the rest are good....

    Suppose that in a batch of 500 components, 20 are defective and the rest are good. A sample of 10 components is selected at random with replacement, and tested. Let X denote the number of defectives in the sample. a. What is the PMF of X? State the distribution, its parameters, and give the equation for its PMF with the correct parameters. b. What is the probability that the sample contains at least one defective component?

  • Number 12 9. In a production process, one fifth of the items fabricated are defective. Ten...

    Number 12 9. In a production process, one fifth of the items fabricated are defective. Ten items from the production line are randomly selected and inspected. Let X be the number of defective articles in this sample. If the distribution of X is Bin(n,p), what are the values of n and p? 10. of the random variable X is given. What is the mean of the distribution? 11. What is of the distribution? 12, X is a random normal normal...

  • Five percent (0.05) of the parts produced by a machine are defective. Twenty(20) parts are selected...

    Five percent (0.05) of the parts produced by a machine are defective. Twenty(20) parts are selected at random for study. A. what is the probability that more than 4 parts are defective? B. what is the probability that exactly 3 parts are defective? C. what is the expected number of defective parts in the sample? D. What is the variance and standard deviation of defective parts in the sample?

  • QUESTIONS A box contains 140 USB drives, 38 of which are defective. Consider drawing a non-defective...

    QUESTIONS A box contains 140 USB drives, 38 of which are defective. Consider drawing a non-defective USB drive to be a "success." If 25 USB drives are randomly selected without replacement, the results do not form a binomial distribution for which reason(s)? (select all that apply) The probability of success is not the same in each trial. The trials are dependent. Each trial has more than 2 possible outcomes. There is not a fixed number of trials.

  • A manufacturer of metal pistons claims that on average, about 10% of their pistons are defective...

    A manufacturer of metal pistons claims that on average, about 10% of their pistons are defective (either oversize or undersize). This month, there are 100,000 pistons produced. The quality control staffs randomly selected 150 pistons to examine the size, and 20 pistons are found to defective? (No points will be given without proper steps) (1) (1pt) If we define variable x = number of defective pistons out of the 150 pistons selected, what distribution does x follow? (2) (1pt) Check...

  • :Among 20 metal parts produced in a machine shop, 5 are defective. If a random sample...

    :Among 20 metal parts produced in a machine shop, 5 are defective. If a random sample of three of these metal parts is selected, find: 1. The probability that this sample will contain at least two defectives? 2. The probability that this sample will contain at most one defective? Note: Use hypergeometric probability formula

  • Suppose 20% of the engines manufactured on a certain assembly line are defective. If engines are...

    Suppose 20% of the engines manufactured on a certain assembly line are defective. If engines are randomly selected one at a time and tested. a. Find the probability that first defective engine is found on the third trial. b. Find the mean and variance of the number of the trial on which the first defective engines is found.

  • how to answer this question? The probability mass function (pmf) for the Poisson distribution can be...

    how to answer this question? The probability mass function (pmf) for the Poisson distribution can be regarded as a limiting form of the binomial pmf if n o and p 0 with np = fi constant. (a) Suppose that 1% of all transistors produced by a certain company are defective. 100 of these chips are selected from the assembly line, Calculate the probability that exactly three of the chips are defective using both a binomial distribution and a Poisson distribution....

  • The probability that a part produced by a certain​ factory's assembly line will be defective is...

    The probability that a part produced by a certain​ factory's assembly line will be defective is 0.025. Suppose a sample of 130 parts is taken. Find the following probabilities by using the normal curve approximation to the binomial distribution. Use the table of areas under the standard normal curve given below. The probability that exactly 2 parts will be defective is ____. ​(Round to four decimal places as​ needed.) The probability that no parts will be defective is _____. ​(Round...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT