However, there is a 10% chance that a disgruntled employee shakes the machine, in which case the defective rate jumps up to 30%. (a) Suppose that a widget made by this machine is selected at random and is found to be defective. What is the probability that the machine had been shaken?

However, there is a 10% chance that a disgruntled employee shakes the machine, in which case the defective rate jumps up to 30%. (a) Suppose that a widget made by this machine is selected at random and is found to be defective. What is the probability that the machine had been shaken?

Elements Of Electromagnetics

7th Edition

ISBN:9780190698614

Author:Sadiku, Matthew N. O.

Publisher:Sadiku, Matthew N. O.

ChapterMA: Math Assessment

Section: Chapter Questions

Problem 1.1MA

See similar textbooks

Similar questions

1. Since experimentations are always subject to errors, what techniques are employed to neutralize the effects of these errors in the accuracy and validity of the experiment? 2. Why is the "factorial experiment" better in any way than a "one-factor-at-a-time" approach? 3. True or False: As soon as the experimental data (measurements) are obtained, the experimenter can already proceed with the usual significance testing. Explain. 4. What is "hypothesis testing"? How is it performed? 5.What makes ANOVA a powerful tool in hypothesis testing? What happens if you use a 2k full Factorial design to explore a set of variables which is known to have a non-linear response? 6. When is the addition of center points to a 2k full factorial design beneficial? Give a particular case that warrants its use. 7. In practical terms, explain how a LOW p-value connote SIGNIFICANCE (Recall that the smaller the p-value is, the more significant the factor becomes)?
Q.46 Robot Ltd. wishes to maintain enough safety stock during the lead time period between starting a new production run and its completion such that the probability of satisfying the customer demand during the lead time period is 95%. The lead time period is 5 days and daily customer demand can be assumed to follow the Gaussian (normal) distribution with mean 50 units and a standard deviation of 10 units. Using o-(0.95) = 1.64, where o represents the cumulative distribution function of the standard normal random variable, the amount of safety stock that must be maintained by Robot Ltd. to achieve this demand fulfilment probability for the lead time period is units. [Round off to two decimal places]
Asap
Q.49 A person operates a machine that makes capacitors. He has been advised to keep the track of the percentage defectives at his work center. He knows that this type of process, they expect about 4% defectives plus or minus some chance variation. He wishes to initially construct a control chart for defectives. He has prepared ten daily samples of hundred capacitors each. Sample No. 1 2 3456 789 10 % defectives 4 3 36 195 12 4 3 ) Construct the relevent control chart. What are upper and lower control limits?
Exercise 4.4: Seven students measured the length of a rod to be as shown below: Student No. 1 4 6. 7 Length (cm) 87.5 87.3 87.4 87.6 87.8 87.2 87.1 (a) What is the best estimate for the length of the rod? (b) What is the sample standard deviation in the length of the rod? (c) What will be the uncertainty in the length of the rod?
A new electronic component for aircraft is tested to withstand temperatures as low as -50°F. One engineer suggests that the device cannot actually stand temperatures that low. What are the Type I and Type II errors? Type I: The device CAN NOT withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN.Type II: The device CAN withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN NOT. Type I: The device CAN withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN NOT.Type II: The device CAN NOT withstand temperatures as low as -50F but the engineer incorrectly finds that it CAN. Is the answer the first or second bullet point?
An engineer measures the diameter of 20 tubes selected at random from a large shipment. The sample mean is 48.5 mm and S- 9.4 mm. The manufacturer of the tubes claims that 2 = 42.1 mm. Is this claim supported by data set? for 90% probability? where a' is the true or the estimate value O No O yes
Essay: Please answer the following questions: 1. Differentiate probability sampling from non-probability sampling. 2. Illustrate the application of the following probability techniques: a. Systematic Random Sampling b. Stratified Random Sampling c. Random Sampling 3. Why do researchers prefer the use of probability techniques? Simple
Do the two analytical methods provide results that are significantly different at the 95% confidence interval? Justify fully, showing all calculations, logic etc
A random sample of 83 reconstructed clay vessels from the Turquoise Ridge archaeological site indicated the standard deviation of diameters to be approximately 5.5 cm. How many more such clay vessels must be found and reconstructed to be 95% sure that the sample mean of diameters is within 1 cm of the population mean of all such reconstructed clay vessels at this archaeological site?
The data shown in Table 1 are the deviations from nominal diameter for holes drilled in a carbon-fiber composite material used in aerospace manufacturing. The values reported are deviations from nominal in ten-thousandths of an inch. (a) Set up and R charts on the process. Is the process in statistical control? (b) Estimate the process standard deviation using the range method. (c) If specifications are at nominal ±100, what can you say about the capability of this process? Calculate the PCR Cp Table 1. Hole Diameter Data Sample Number X1 X2 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 19 20 -30 +50 0 -50 -10 -10 +20 -40 0 0 -30 0 +20 0 0 +70 0 +10 +40 +30 +30 +30 +10 0 +20 +50 +50 -20 +50 -60 +10 0 0 +20 +10 -20 -10 0 +20 X3 X4 X5 -30 +20 +30 +50 +40 +20 +30 +20 +30 +20 +30 0 +20 +10 +40 +10 +10 -10 +50 -10 -30 -10 +50 +40 0 +30 -10 0 +30 +30 -20 +50 +30 +10 +40 +20 0 +30 +10 +30 -20 +30 +30 +20 -20 +50 +20 +10 -40 +20 -20 -10 -10 0 -20 +10 +10 +50 0 +10
Truncation errors are increased as the round-off errors are decreased.Group of answer choices True False Say, you have a thermometer and you are checking the temperature of a body that has a temperature of 36o Using your thermometer five times, it gives you the following measurements: 29oC, 29.2oC, 29.3oC, 28.9oC, and 29.1oC. What can we conclude about the accuracy and the precision of the thermometer?Group of answer choices The thermometer is not accurate and not precise The thermometer is faulty. The thermometer is accurate and precise The thermometer is not accurate but precise. Say, you have a thermometer and you are checking the temperature of a body that has a temperature of 36o Using your thermometer five times, it gives you the following measurements: 36oC, 35.6oC, 36oC, 37oC, and 36.2oC. What can we conclude about the accuracy and the precision of the thermometer?Group of answer choices The thermometer is accurate and precise. The thermometer is accurate but not precise. The…