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nordsb [41]
3 years ago
6

A watering can dispenses water at a rate of 0.40 gallon per minute. the original volume of water in the can was 10 gallons. whic

h set of ordered pairs shows the volume of water in the can in gallons (y) as a function of time in minutes (x) from the first minute after the can starts dispensing water? {(10, 1), (9.60, 2), (9.20, 3)} {(1, 10), (2, 9.60), (3, 9.20)} {(9.60, 1), (9.20, 2), (8.80, 3)} {(1, 9.60), (2, 9.20), (3, 8.80)}
Mathematics
2 answers:
kondor19780726 [428]3 years ago
8 0
The last one. because you are starting 1sec after the can has begun to pour. So, (1, 9.60) and the subsequent ordered pairs are correct
Juli2301 [7.4K]3 years ago
3 0

Answer:

The last one. because you are starting 1sec after the can has begun to pour. So, (1, 9.60) and the subsequent ordered pairs are correct

Step-by-step explanation:

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4. For graduation, Diamond was able to buy her first car for $24,000. Her parents gave her a present and made a
s344n2d4d5 [400]

Answer:

$403.15

Step-by-step explanation:

Principal loan amount is the total amount minus down-payment:

Principal=24000-1000\\\\=23000

Knowing that n=12\times 6=72,P=23000, r=7.99\%/12=0.006658, the monthly payments can be calculated using the formula:

M=P[\frac{r(1+r)^n}{(1+r)^n-1}]\\\\=23000\frac{(0.006658(1.006658)^{72}}{1.006658^{72}-1}\\\\=403.15

Hence, the monthly payment is $403.15

3 0
3 years ago
A stationary store has decided to accept a large shipment of ball-point pens if an inspection of 17 randomly selected pens yield
Leno4ka [110]

Answer:

0.762 = 76.2% probability that this shipment is accepted

Step-by-step explanation:

For each pen, there are only two possible outcomes. Either it is defective, or it is not. The probability of a pen being defective is independent from other pens. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

17 randomly selected pens

This means that n = 17

(a) Find the probability that this shipment is accepted if 10% of the total shipment is defective. (Use 3 decimal places.)

This is P(X \leq 2) when p = 0.1. So

P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2)

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{17,0}.(0.1)^{0}.(0.9)^{17} = 0.167

P(X = 1) = C_{17,1}.(0.1)^{1}.(0.9)^{16} = 0.315

P(X = 2) = C_{17,2}.(0.1)^{2}.(0.9)^{15} = 0.280

P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) = 0.167 + 0.315 + 0.280 = 0.762

0.762 = 76.2% probability that this shipment is accepted

8 0
4 years ago
I will give brainliest. I need help ASAP.
Tamiku [17]

Answer:

\I got not answer cause im da BUDDHA

But gimme brainliest squekky plssss

4 0
3 years ago
Find the greatest common factor of 20, 70, and 50.
posledela

Answer:

=10

Step-by-step explanation:

because 20÷10=2

70÷10=7

50÷10=5

7 0
3 years ago
Help please answer as soon as possible thank you
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D a kilogram is 100000 bigger
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