Suppose that the number of defects in the production of a length of copper wire is modeled by a Poisson process with an average of 8 defects per 500 feet of wire. a. What is the probability that there will be no defects in 50 feet of wire? (.4493) b. What is the probability that the first defect occurs between the 25th and 50th foot of wire produced? (.2210) c. What is the probability that the 6th defect comes before the 350th foot of wire produced? Use fnInt. (.4881)
inter-defect distance =500/8 =62.5 feet =
1) hence probability that there will be no
defects in 50 feet of wire =P(X>50) =e-x/
=e-50/62.5 =0.4493
2)probability that the first defect occurs between the 25th and 50th foot of wire produced=P(25<X<50)
=e-25/62.5 -e-50/62.5) =0.2210
3) expected number of failure in 350 foot =8*350/500=5.6
=
hence probability that the 6th defect comes before the 350th foot of wire produced
=1-P(at most 5 defect in 350 foot) =1-
=1-0.5119 =0.4881
Suppose that the number of defects in the production of a length of copper wire is...
eBook Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. (a) The process standard deviation is 0.30, and the process control is set at plus or minus one standard deviation. Units...
Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. (a) The process standard deviation is 0.15, and the process control is set at plus or minus one standard deviation. Units with...
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Question 1 (a) In a metal fabrication process, metal rods are produced that have an average length of 20.5 feet with a standard deviation of 2.3 feet. A quality control specialist collects a random sample of 30 rods and measures their lengths. (i) Describe the sampling distribution for the sample mean by naming the model and telling its mean and standard deviation. [3 marks] (ii) Calculate the probability that the sample mean length of metal rods is less than 19.5...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...
Write down your analysis of this case on factors like 1. the negotiation process, strategy and tactics PACIFIC OIL COMPANY (A)* "Look, you asked for my advice, and I gave it to you," Frank Kelsey said. "If I were you, I wouldn't make any more concessions! I really don't think you ought to agree to their last demand! But you're the one who has to live with the contract, not me!" Static on the transatlantic telephone connection obscured Jean Fontaine's...
Write down your analysis of this case on factors like the interests involved, context and power PACIFIC OIL COMPANY (A)* "Look, you asked for my advice, and I gave it to you," Frank Kelsey said. "If I were you, I wouldn't make any more concessions! I really don't think you ought to agree to their last demand! But you're the one who has to live with the contract, not me!" Static on the transatlantic telephone connection obscured Jean Fontaine's reply....