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sergij07 [2.7K]
3 years ago
7

Pls help Solve for m a=f/m

Mathematics
1 answer:
prisoha [69]3 years ago
6 0

Answer:

m is not = 0

Step-by-step explanation:

hope this help

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-3+4x-10=1/2x<br><br> Please HELP
vesna_86 [32]

Answer:

x=26/7

Step-by-step explanation:

3 0
3 years ago
The sum of the two digits of a number is 16. The number formed by reversing the digits is 18 more than the original number. Dete
nydimaria [60]
9u-9t=18

original no. is 10t+u
reversed no. is 10u+t

so its (10u+t)-(10t+u)=18
which gives 9u-9t=18
5 0
3 years ago
A right triangle has legs with lengths 20 cm and 21 cm.
Bond [772]

to find the hypotenuse length you need to use the pythegorian therum and that will give you 29cm


7 0
4 years ago
Read 2 more answers
Suppose you bought D DVD's and B Books. If each DVD cost $14.95 and each book you bought off the 'specials' table cost $6.95, wr
Doss [256]

Answer:

14.95D + 6.95B

Step-by-step explanation:

Well a simple expression would make D the amount of DVD's you bought and B the amount of Books purchased.

In simple cases the prices don't change depending on that amount so you can multiply them by making it 14.95D and 6.95B.

Making the expression 14.95D + 6.95B.

8 0
3 years ago
Consider the continuous random variable x, which has a uniform distribution over the interval from 110 to 150. The probability t
Virty [35]

Answer:

The probability that x will take on a value between 120 and 125 is 0.14145

Step-by-step explanation:

For uniform distribution between a & b

Mean, xbar = (a + b)/2

Standard deviation, σ = √((b-a)²/12)

For 110 and 150,

Mean, xbar = (150 + 110)/2 = 130

Standard deviation, σ = √((150-110)²/12 = 11.55

To find the probability that x will take on a value between 120 and 125

We need to standardize 120 & 125

z = (x - xbar)/σ = (120 - 130)/11.55 = - 0.87

z = (x - xbar)/σ = (125 - 130)/11.55 = - 0.43

P(120 < x < 125) = P(-0.87 < x < -0.43)

We'll use data from the normal probability table for these probabilities

P(120 < x < 125) = P(-0.87 < x < -0.43) = P(z ≤ -0.43) - P(z ≤ -0.86) = 0.33360 - 0.19215 = 0.14145

Hope this Helps!!!

3 0
3 years ago
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