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The question has been truncated.
I suspect it either should end: "...none of the calculators work," in which case:
for all 3 to be faulty the probability is 1/10 × 1/10 × 1/10 = 1/1000 = 0.001 = 0.1 %
or: "...none of the calculators are faulty," in which case:
for all 3 to not be faulty the probability = 9/10 × 9/10 × 9/10 = 729/1000 = 0.729 = 72.9 %
What else can I help you with?
There are 10 rolls of film in a box and 3 are defective Two rolls are selected without replacement What is the probability of selecting a defective roll followed by another defective roll?
1/15 or about 0.07
If 10 percent of all disk drives produced on an assembly line are defective what is the probability that there will be exactly one defect in a random sample of 5 of these?
It is 5C1*(1/10)1*(9/10)4 = 0.3281
What are defective numbers?
Defective numbers are when all the factors of a number add up to be smaller than the number.Ex.:39 1+3+13=17 17<39 39 is defective
In a shipment of 850 widgets 32 are found to be defective. At this rate how many defective widgets could be expected in 22000 widgets?
If it is a linear relationship then it is (32/850)*22000 = 828.23 or simply 829
What is the opposite of the word perfect?
The opposite of the word perfect is bad
If a sample of 4 different calculators is randomly selected from a group containing 11 that r defective n 30 that have no defects what is the probabilty that atleast 1 of the calculators is defective?
100%
Carlotta brought a new skateboards for which the probability of having a defective wheel is 0.015 What is the probability of not having a defective wheel?
1-.015 = .985
Ninety-five percent of the parts coming off an assembly line are non-defective what is the probability that of 500 parts fewer than 472 are non-defective?
Homework question? This is actually not a question of probability: if 95% of the parts are non-defective, then 0.95 * 500 = 475 parts are non-defective. So there is zero (0) probability that fewer than 472 parts are non-defective. The question is different when any part has a probability (chance) of 95% of being non-defective. This is a so called Binomial distribution. Google knows the answer.
If the probability of a defective bolt is 0.1 find the mean?
The mean is 0.1
What Ten of the 50 digital video recorders (DVRs) in an inventory are known to be defective. What is the probability you randomly select an item that is not defective?
It is 0.8
If you buy 4 spark plugs what is the probablility that at lease one is defective?
If the probability of a single plug being defective is p then the required probability is 1 - (1- p)4 = 4p - 6p2 + 4p3 - p4
The class president made 75 copies of the flyer advertising the school play. It was found that 8 of the copies were defective. What is the probability that a flyer will be printed properly?
8 were defective while (75-8=67) weren't. So the estimated probability that a flyer won't be defective is 67/75
Factory workers test 60 batteries. 24 batteries are defective. What is the experimental probability that a battery is defective?
Just divide 24 (the number of defective batteries) by 60 (the total number).
There are 10 rolls of film in a box and 3 are defective Two rolls are selected without replacement What is the probability of selecting a defective roll followed by another defective roll?
1/15 or about 0.07
A sample of 4 iPods is selected from a shipment of 20 iPods there are 5 defective iPods in the shipment what is the probablity that the sample does not contain any defective iPods?
i dont get it? --- The probability that the first iPod you select is not defective is 16/20. If you selected a non-defective iPod the first time, there are now 15 non-defective iPods out of 19 remaining. So, the odds that the second you selected is non-defective is 15/19. By similar reasoning, the probability that the third is non-defective (given that the first two weren't defective) is 14/18, and for the fourth iPod, it is 13/17. So the probability that none of the four iPods you selected are defective is: (16/20)*(15/19)*(14/18)*(13/17)=364/969, or approximately 37.6%
Is determining if 3000 heart pacemakers effective or defective a binomial probability?
idon't know
A machine produce 100 items assuming that 10 of the items are defective what is the probability tha random sample of size 5 from the out put will contain 3 defective items?
in a certain statistical experiment, the probability of a success is 0.20. if the experiment is conducted 80 time, what is the probability of getting 20 successes or more?
