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Igoryamba
3 years ago
6

How much do 14 fit in 42

Mathematics
2 answers:
Lynna [10]3 years ago
7 0

Answer:

3

Step-by-step explanation:

42 divided by 14 is equal to 3

42/14=3

alexira [117]3 years ago
4 0

Answer:

14 fits into 42 3 times.

Step-by-step explanation:

Divide 42 with 14

42/14 = 3

Answer: 3 times

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An electronic product contains 53 integrated circuits. The probability that any integrated circuit is defective is 0.02, and the
Varvara68 [4.7K]

Answer: Hello!

Here you have 53 integrated circuits, each with a probability of 0.02 of being defective.

If only one of them is defective, then the electronic product doesnt work.

Then we need the calculate the probability in wich all the 53 circuits arent defective.

the probability for each one to not be defective is 1 - 0.02 = 0.98

And if i want to see the probability for all of them to work fine, then i need to do the product of all the probabilities, this is multiply 0.98 53 times, or:

0.98^{53} = 0.34275

rounding to the four decimal place, we have: 0.3428

Wich is a kinda small probability for our product to work.

3 0
4 years ago
The equation below has one solution.
monitta

Answer:

D

Step-by-step explanation:

9x-10-3x+2

9x-3x-10+2

6x-8

x=2

6 0
3 years ago
I need to know these answers fast please please help!!!!
meriva

Answer:

Step-by-step explanation:

y intercept please scroll down--i need to see the rest of the graph-- y intercept is where the graph intersects with the y axis

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40 POINTS !! 40 POINTS !!<br><br> PLEASE HELP , DONT SKIP !<br><br> NO LINKS OR FILES.
nataly862011 [7]

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Read 2 more answers
1.17 A study of the effects of smoking on sleep patterns is conducted. The measure observed is the time, in minutes, that it tak
bearhunter [10]

Answer:

a.

\bar X_F=43.7

\bar X_{NF}=30.32

b.

S_F=16.9278

S_{NF}=7.12783

c.

Attached file

d.

Apparently the practice of smoking reduces the ability to fall asleep, demanding much more time in individuals who smoke, than in those who do not smoke.

Step-by-step explanation:

a, b) For the group of smoking individuals, the average time it takes to fall asleep and the standard deviation of those times is:

\bar X_F={\frac{1}{n} \sum_{i=1}^n x_i = 43.7

S_F=\sqrt{\frac{1}{n-1} \sum_{i=1}^n (x_i-\bar{x})^2}=16.9278

a, b) For the group of non-smoking individuals, the average time it takes to fall asleep and the standard deviation of those times is:

\bar X_{NF}={\frac{1}{n} \sum_{i=1}^n x_i = 30.32

S_{NF}=\sqrt{\frac{1}{n-1} \sum_{i=1}^n (x_i-\bar{x})^2}=7.12783

c. In the attached file you can see the diagram of points for the times, in the smoking and non-smoking groups.

d. Apparently the practice of smoking reduces the ability to fall asleep, demanding much more time in individuals who smoke, than in those who do not smoke.

Download pdf
6 0
4 years ago
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