a)
P(F) =P(A)*P(F|A)+P(B)*P(F|B)+P(C)*P(F|C)=(1/3)*0.2+(1/3)*0.1+(1/3)*0.05=0.1167
b)
P(A|F) =P(A)*P(F|A)/P(F)=(1/3)*0.2/0.1167 =0.5714
c)
P(C|Fc)=P(C)*P( Fc|C)/P(Fc)=(1/3)*(1-0.05)/(1-0.1167)=0.3585
3. At a factory, three robots (A, B and C) build devices, 20% of the devices...
3. At a factory, three robots (A, B and C) build devices, 20% of the devices made by A are defective, 10% of the devices made by B are defective, and 5% of the devices made by machine C are defective. Each robot builds the same number of devices per day. Let F indicate a defective device. (a) What is the probability P(F) that a given device produced in this factory is defective? (b) Given that a device is defective,...
Two machines turn out all the products in a factory, with the first machine producing 45% of the product and the second 55%. The first machine produces defective products 3% of the time and the second machine 8% of the time. (a) What is the probability that a defective part is produced at this factory given that it was made on the first machine? (b) What is the probability that a defective part is produced at this factory?
A company has 2 factories that produce digital cameras, Factory A and Factory.B. Factory produces 3 times as many digital cameras as Factory A does. 23% of digital cameras produced by factory A are defective. 8% of digital cameras produced by Factory B are defective. What is the probability that a digital camera was produced by factory.B given that it is defective? (Round to nearest percentage) A. 20 B. 10 C.40 D. 51 m.
(b) At a factory where bolts are produced, machines A, B, C produce respectively 25%, 35% and 40% of all bolts. Of the output of these machines, defects constitute 5%, 4% and 2% respectively. A bolt selected at random from the production turned out to be defective. What machine was the most likely to have produced this defective bolt? (give the probability it was this machine.) [5]
Problem 1: See Dataset HIFA19Q1 .mtx In a packing plant, a machine packs cartons with jars. It is supposed that a new machine will pack faster on the average than the machine currently used. To investigate this issue, the times it takes each machine to pack forty cartons, twenty each, are recorded. Conduct different types of descriptive analysis of the data of this experiment as outlines in the questions below: 1. Use a suitable graphical method to compare the packing...
In a factory, machine A produces 60% of the daily output, and machine B produces 40% of the daily output. After quality control process, 2% of machine A's output is defective, and 3% of machine B's output is defective. If an item was inspected at random, 1- What is the probability that the item is defective? 2- What is the probability that the item was produced by machine A given that it was found defective?
please show all work 1. 120 points! Four machines produce the total output of a factory, Machine 1 produces 30%, machine 2 produces 25% machine 3 produces 12% and machine 4 produces 13% of the output. 5% of the output of machine lis defective, 8% from machine 2 is not defective, 3% from machine 3 is defective and 4% from machine 4 is not defective. If a finished item is selected at rindom, a. What is the probability of it...
A factory manufactures machines. Each machine is defective with probability 1/100, independently. The machines get numbered 1, 2, . . . as they’re produced (a) Out of machines 1, . . . , 1000, what is the probability that none are defective? (b) Out of machines 1, . . . , 1000, what is the probability that two or fewer are defective? (c) Out of machines 1, . . . , 1000, what is the probability that exactly ten are...
1) Three dice are rolled. If each lands on a different number, find the probability that one is 3? 2) ) Three machines (A, B, C) manufacture screws. They manufacture 25%, 35%, and 40% of the screws, respectively. The output screws are defective at 2%, 3%, and 5%, respectively. If you choose a random screw produced at the factory and it is defective, what is the probability it came from each machine A, B, and C
Alden Company uses a three-variance analysis for factory overhead variances. Practical capacity is defined as 20 setups and 20,000 machine hours to manufacture 5,000 units for the year. Selected data for 2019 follow: Budgeted fixed factory overhead: Setup cost $ 57,000 Other 184,000 $ 241,000 Total factory overhead cost incurred $ 491,000 Variable factory overhead rate: Per setup $ 800 Per machine hour $ 6.00 Total standard machine hours allowed for the units manufactured 24,000 hours Machine hours actually worked...