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Olin [163]
3 years ago
6

A jar can hold 3/4 of a pound of flour. Austin empties 1/2 of a pound of flour into the jar. What fraction of the jar is filled?

Enter your answer in numerical form. PLEASE HELP!!!
Mathematics
1 answer:
sdas [7]3 years ago
6 0

Answer:

2/4 is filled, you have to turn 1/2 into 2/4 by doing (1x2)/(2x2), tha't how my teacher once told me

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What is 2 times 3 times n times n = 54
kolezko [41]

If I'm reading this correctly, it is 2*3*n*n = 6n^2

6n^2 = 54  Divide by 6

n^2 = 54/6

n^2 =  9      Take the square root of both sides.

sqrt(n^2) = sqrt(9)

n = +/- 3

n = + 3 or n = -3. Both will solve the equation above.

Edit

2 * 3 * n * n

Let n = 3

2 * 3 * 3 * 3 = 6 * 9 = 54

The other value is n = - 2

2 * 3 * n * n

2 * 3 * (-3) * (-3)   A minus times a minus is a plus.

2 * 3 * 9 = 6 * 9 = 54

both + 3 and - 3 for n will give 54.

8 0
3 years ago
Which of the following are the factors of 4b2 − 16?
slava [35]
4b^2 - 16 =
4(b^2 - 4) =
4(b + 2)(b - 2)
4 0
3 years ago
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Help thanksss. its mutiple choice
Flura [38]

Answer:

Points C,D, E and F are coplanar.

3 0
2 years ago
Hi Can you help me with this question. Thank you x
oksano4ka [1.4K]

Answer:

x=3

Step-by-step explanation:

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Before 1918, approximately 40% of the wolves in a region were male, and 60% were female. However, cattle ranchers in this area h
Goshia [24]

Answer:

P(≥ 7 males) = 0.0548

Step-by-step explanation:

This is a binomial probability distribution problem.

We are told that Before 1918;

P(male) = 40% = 0.4

P(female) = 60% = 0.6

n = 10

Thus;probability that 7 or more were male is;

P(≥ 7 males) = P(7) + P(8) + P(9) + P(10)

Now, binomial probability formula is;

P(x) = [n!/((n - x)! × x!)] × p^(x) × q^(n - x)

Now, p = 0.4 and q = 0.6.

Also, n = 10

Thus;

P(7) = [10!/((10 - 7)! × 7!)] × 0.4^(7) × 0.6^(10 - 7)

P(7) = 0.0425

P(8) = [10!/((10 - 8)! × 8!)] × 0.4^(8) × 0.6^(10 - 8)

P(8) = 0.0106

P(9) = [10!/((10 - 9)! × 9!)] × 0.4^(9) × 0.6^(10 - 9)

P(9) = 0.0016

P(10) = [10!/((10 - 10)! × 10!)] × 0.4^(10) × 0.6^(10 - 10)

P(10) = 0.0001

Thus;

P(≥ 7 males) = 0.0425 + 0.0106 + 0.0016 + 0.0001 = 0.0548

3 0
2 years ago
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