Question

In: Statistics and Probability

(b)     A light bulb manufacturer requires no more than 10% defective light bulbs if the manufacturing...

(b)     A light bulb manufacturer requires no more than 10% defective light bulbs if the manufacturing process is to be considered working.

  1. Assuming the manufacturing process is producing only 10% defectives, what is the probability that a sample of 20 randomly selected light bulbs will contain exactly 2 defective light bulbs?

  1. Suppose the reliability of the manufacturing process is unknown. In a random sample of 10 light bulbs 5 defectives are found. Based on this result, the manufacturer wants to determine the reliability of the manufacturing process. State the null and alternative hypotheses of this situation.

(1 mark)

  1. If the manufacturing process was declared not to be working properly based on the sample result in part (ii) when the process is indeed working, explain what type of error would it be?

  1. Calculate the probability of the error described in part (iii).

  1. Can you use normal approximation to calculate the probability values in question (b) (i) and (iv)? Why/Why not?

Solutions

Expert Solution


Related Solutions

5. A shipment of 50 light bulbs contains 10 defective light bulbs. In order to test...
5. A shipment of 50 light bulbs contains 10 defective light bulbs. In order to test the quality of the shipment, a quality control engineer selects 5 light bulbs at random. (a) How many different samples are possible? (b) What is the probability the engineer will select exactly two defective light bulbs? (c) The shipment will be rejected if at least one of the light bulbs in the sample is defective. What is the probability the sample will be rejected?...
A light-bulb manufacturer advertises that the average life for its light bulbs is 900 hours. A...
A light-bulb manufacturer advertises that the average life for its light bulbs is 900 hours. A random sample of 15 of its light bulbs resulted in the following lives in hours.                          995 590 510 539 739 917 571 555                          916   728   664   693   708   887   849 At the 10% significance level, test the claim that the sample is from a population with a mean life of 900 hours. Use the P-value method of testing hypotheses. Identify the null and alternative hypotheses,...
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 %
Q6. A Light bulb manufacturer warrantees that the life of bulbs has normal distribution with       ...
Q6. A Light bulb manufacturer warrantees that the life of bulbs has normal distribution with        average life (μ) of 400 hours and standard deviation (σ) 20 hours. A customer selects one bulb        randomly from the received shipment and installs it under the ceiling of the house. The true        statement (s) that the installed bulb will continue to burn for at least for 482 hours is/are:        a. It is rare but not impossible that bulb will continue...
Compact fluorescent bulbs are much more efficient at producing light than are ordinary incandescent bulbs. They...
Compact fluorescent bulbs are much more efficient at producing light than are ordinary incandescent bulbs. They initially cost much more, but last far longer and use much less electricity. According to one study of these bulbs, a compact bulb that produces as much light as a 100 W W incandescent bulb uses only 23.0 W W of power. The compact bulb lasts 10000 hours, on the average, and costs $ $ 11.00, whereas the incandescent bulb costs only $ $...
A firm rents light bulbs to consumers. The firm covers the cost of the light bulb...
A firm rents light bulbs to consumers. The firm covers the cost of the light bulb and replacing it every time it burns out. The interest rate is 14%. The cost of producing a light bulb is √N where N is the number of years the light bulb lasts. What is the firm's present value cost of providing a lightbulb to a consumer and replacing it everytime it burns out forever? Using light bulbs that last 10 years.
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 720 hours. A random sample of 51 light bulbs as a mean of 701.6 hours with a population standard deviation of 62 hours. At an α=0.05, can you support the company’s claim using the test statistic? claim is the alternative, reject the null and support claim as test statistic (-2.12) is not in the rejection region defined by the critical value...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 757 hours. A random sample of 22 light bulbs has a mean life of 729 hours. Assume the population is normally distributed and the population standard deviation is 65 hours. At a=0.02​, do you have enough evidence to reject the​ manufacturer's claim. 1. identify null and alternative hypothesis 2.identify region rejections on graph 3.identify standarized test statstics 4. interpret decision
A manufacturer of light bulbs claims that the average lifetime of one of their bulbs is...
A manufacturer of light bulbs claims that the average lifetime of one of their bulbs is more than 900 hours. A consumer advocacy group wants to test this claim. They obtained a simple random sample of 61 bulbs and timed how long they took to burn out. They obtained a sample mean of 907.5 hours with a standard deviation of 16.5 hours. It’s your job to test the claim at the 5% significance level and determine if the manufacturer is...
In a box of 12 light bulbs, it is known that 5 of them are defective....
In a box of 12 light bulbs, it is known that 5 of them are defective. That is, 5 are defective and 7 function properly. We select 2 bulbs from the bag at random, without replacement. Find the probability they both function properly. Show work. Round your answer to 3 decimal places.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT