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gulaghasi [49]
3 years ago
9

7.1 divided by 312.755

Mathematics
1 answer:
RUDIKE [14]3 years ago
6 0

answer 0.0227014756

Step-by-step explanation:

or if you meant 312.775/7.1 it's 44.0528169

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Is 5/8 an irrational number.?
Nikitich [7]

Step-by-step explanation:

yes it is . becoz if you kbow the 5 is to 8 means it is an irrational number

4 0
3 years ago
Read 2 more answers
Tell whether the angles are adjacent or vertical. Then find the value of x.
Artist 52 [7]

Answer:

These are Vertical angles, adjacent angles are next to each other and make up a whole angle, while vertical angles are across and equal the same thing.

X = 81 because 84 and (x + 3) are the same so 84 minus 3 is 81

Hope that helps

8 0
2 years ago
Kim and jay leave at the same time to travel 25 miles to the beach. Kim drives 9 miles in 12 minutes. Jay drives 10 miles in 15
Katen [24]
23. Kim and Jay leave at the same time to travel 25 miles going to the beach. Kim drives 9 miles in 12 minutes Jay drives 10 miles in 15 minutes. Question: who will arrive first? Unit rate of Kim => 9 miles in 12 minutes => 0.75 miles / minutes => 25 / 0.75 It will take 33.33 minutes for Kim to arrive Unit rate of Jay 10 miles in 15 minutes. => 10 miles /15 minutes => 0.67 miles /minute => 25 / 0.67 It will take Jay 37.31 minutes to arrive at the beach. SO Kim will arrive first
3 0
3 years ago
Calculate the theoretical probability of each of the following events:
horsena [70]

Answer:

There is a 1/3 chance it lands on each section

Step-by-step explanation:

4 0
3 years ago
A shipment of 50,000 transistors arrives at a manufacturing plant. The quality control engineer at the plant obtains a random sa
Aleks04 [339]

Step-by-step explanation:

remember, the number of possible combinations to pick m out of n elements is C(n, m) = n!/(m! × (n-m)!)

50,000 transistors.

4% are defective, that means 4/100 = 1/25 of the whole.

so, the probability for one picked transistor to be defective is 1/25.

and the probability for it to work properly is then 1-1/25 = 24/25.

now, 500 picks are done.

to accept the shipment, 9 or less of these 500 picks must be defective.

the probability is then the sum of the probabilities to get

0 defective = (24/25)⁵⁰⁰

1 defective = (24/25)⁴⁹⁹×1/25 × C(500, 1)

= 24⁴⁹⁹/25⁵⁰⁰ × 500

2 defective = (24/25)⁴⁹⁸×1/25² × C(500, 2)

= 24⁴⁹⁸/25⁵⁰⁰ × 250×499

3 defective = 24⁴⁹⁷/25⁵⁰⁰ × C(500, 3) =

= 24⁴⁹⁷/25⁵⁰⁰ × 250×499×166

...

9 defective = 24⁴⁹¹/25⁵⁰⁰ × C(500, 9) =

= 24⁴⁹¹/25⁵⁰⁰ × 500×499×498×497×496×495×494×493×492×491 /

9×8×7×6×5×4×3×2 =

= 24⁴⁹¹/25⁵⁰⁰ × 50×499×166×71×31×55×494×493×41×491

best to use Excel or another form of spreadsheet to calculate all this and add it all up :

the probability that the engineer will accept the shipment is

0.004376634...

which makes sense, when you think about it, because 10 defect units in the 500 is only 2%. and since the whole shipment contains 4% defect units, it is highly unlikely that the random sample of 500 will pick so overwhelmingly the good pieces.

is the acceptance policy good ?

that completely depends on the circumstances.

what was the requirement about max. faulty rate in the first place ? if it was 2%, then the engineer's approach is basically sound.

it then further depends what are the costs resulting from a faulty unit ? that depends again on when the defect is usually found (still in manufacturing, or already out there at the customer site, or somewhere in between) and how critical the product containing such transistors is. e.g. recalls for products are extremely costly, while simply sorting the bad transistors out during the manufacturing process can be rather cheap. if there is a reliable and quick process to do so.

so, depending on repair, outage and even penalty costs it might be even advisable to have a harder limit during the sample test.

in other words - it depends on experience and the found distribution/probability curve, standard deviation, costs involved and other factors to define the best criteria for the sample test.

3 0
2 years ago
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