Question

In: Statistics and Probability

The life span of 100 W light bulbs manufactured by a company are tested. It is...

The life span of 100 W light bulbs manufactured by a company are tested. It is found that (8 %) of the light bulbs are rejected. A random sample of 15 bulbs is taken from stock and tested. The random variable X is the number of bulbs that is rejected.

a. Give four reasons why ? will have a binomial distribution.

b. Use a formula to find the probability that 2 light bulbs in the sample are rejected.

c. If the true probability of a rejected light bulb is 0.5340. Among the next 6 randomly selected bulbs, what is the probability that at least one of them is accepted?

d. If life span of light bulbs is adjusted so that the mean now is ?.

Find the value of ?:

i. Given that ?(?=0)=0.25.

ii. Given that the variance of ? is 2.4.

Solutions

Expert Solution

Answer:-

Given that:-

Let X: No.of bulbs that is rejecetd .

P=prob .of rejecting bulb=0.06, q=1-p= 0.94

i) Here, there are only two possible outcomes i.e bulb is either rejected or accepted.

ii)p=prob of success.

iii) Each trial is independent trials.

Here

Its pmf is

otherwise

b) prob that 2 light bulbs in the sample are rejected is

c) If and ,

otherwise

prob that atleast one is accepeted =prob that zero bulbs are rejected

d) &  

we know that

Now,  

ii) &  

Again  

can not be determined.

Also , for binomial distribution mean > variance

Here mean is gives to be p which lies between 0 and 1 & variance is given to be 2.4 i.e mean < variance which is not true hence we can not determine p.


Related Solutions

1. The mean life span of population of light bulbs manufactured by a particular company is...
1. The mean life span of population of light bulbs manufactured by a particular company is found to be 2400 hours with a standard deviation of 250 hours. A sample of 100 light bulbs produced in a lot is found to have a mean life span of 2300 hours. Test whether the population mean is less than sample mean. Assume α = 0.01.
a company manufactures light bulb. the company want the bulbs to have a mean life span...
a company manufactures light bulb. the company want the bulbs to have a mean life span of 99t hours. this average is maintained by periodically testing random sample of 25 light bulbs. if the t-value fail between -t0.90 and t0.90, then the company will be satisfied that it is manufacturing acceptable light bulbs. for a random sample, the mean life span of the sample is 1000 hours and the standard deviation is 25 hours. assume the life span are approximately...
A manufacturer of light bulbs finds that one light bulb model has a mean life span...
A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1025 h with a standard deviation of 80 h. What percent of these light bulbs will last as follows? (Round your answers to one decimal place.) (a) at least 970 h % (b) between 810 and 880 h %
A company manufactures light bulbs. These light bulbs have a length of life that is normally...
A company manufactures light bulbs. These light bulbs have a length of life that is normally distributed with a known standard deviation of 40 hours. If a sample of 36 light bulbs has an average life of 780 hours, find the 95 percent confidence interval for the population mean of all light bulbs manufactured by this company.
GE, a company that makes light bulbs claims that its bulbs have a mean life of...
GE, a company that makes light bulbs claims that its bulbs have a mean life of 800 hours with a standard deviation of 32 hours. Show all work a)If you buy a four-pack of bulbs, what is the probability that the mean life will be 775 to 850 hours for that four-pack ? b)If you buy a case of 40 bulbs, what is the probability that the mean lifewill be 775 to 850 hours for the entire case? answers accurate...
A manufacturer of light bulbs claims that its light bulbs have a mean life of 1520...
A manufacturer of light bulbs claims that its light bulbs have a mean life of 1520 hours. If a random sample of 40 bulbs is tested and has an average life of 1500 hours and the standard deviation is 80 hours, is there sufficient evidence to claim that the mean life is different than the manufacturer's claim? Use alpha = 0.01. Calculate the test statistic. Calculate a confidence interval for the true mean light bulb life. Use the level of...
A box contains six 25-watt light bulbs, nine 60-watt light bulbs, and five 100-watt light bulbs....
A box contains six 25-watt light bulbs, nine 60-watt light bulbs, and five 100-watt light bulbs. What is the probability a randomly selected a 60 watt light bulb? (PLease explain how did you get your answer)(2 pt) Note: You must provide your answer as a fraction NOT decimal) Cell Phone Provider Probability AT&T 0.271 Sprint 0.236 T–Mobile 0.111 Verizon 0.263 Does the above table represent the probability model? Explain your answer. (2 pt) The data shows the distance that employees...
A company that manufactures light bulbs claims that its light bulbs last an average of 1500...
A company that manufactures light bulbs claims that its light bulbs last an average of 1500 hours. A consumer research group wants to test the hypothesis that the mean life of light bulbs manufactured by this company is less than 1500 hours. A sample of 35 light bulbs manufactured by this company gave a mean life of 1450 hours with a standard deviation of 100 hours. The significance level of the hypothesis test is 5% and the distribution for the...
The life span of a calculator manufactured by Texas Instruments has a normal distribution with a...
The life span of a calculator manufactured by Texas Instruments has a normal distribution with a mean of 65 months and a standard deviation of 1 year. The company guarantees that any calculator that starts malfunctioning within 38 months of the purchase will be replaced by a new one. About what percentage of calculators made by this company are expected to be replaced? (Hint: Draw a picture, shade the region, label the axes.) If the company sells 5000 calculators, how...
The life expectancy of a brand of light bulbs is normally distributed with a mean of...
The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours. The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT