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Mrrafil [7]
3 years ago
10

What is 25 divided by 14

Mathematics
1 answer:
Marizza181 [45]3 years ago
3 0
25 divided by 14 is 1.78
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When evaluating (6.28 x 10^12) over (3.14x10 ^ 4), what will be the exponent of 10 in the quotient?
SIZIF [17.4K]
When ur dividing with exponents, u subtract the exponents

10^12 / 10^4 = 10^(12 - 4) = 10^8 <== ur exponent is 8
3 0
3 years ago
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Yin has 3 blue shirts. 10% of her shirts are blue. Liang has 1.5 times as many shirts as Yin has. How many shirts does Liang hav
Gelneren [198K]
3 = 10%
15 = 50%
30 = 100%

30 * 1.5 = 45
Liang has D.) 45 shirts
8 0
3 years ago
Two parallelogram-shaped pieces of tile have the same area. One has a base of 20 centimeters and a height of 15 centimeters. The
gtnhenbr [62]

Answer:

height = 12 cm

Step-by-step explanation:

Parallelogram 1:

Area =  base *height = 20 * 15 = 300 sq. cm

Area of parallelogram 2 = area of parallelogram 1

25 * height = 300

       height = 300/25

height = 12 cm

8 0
3 years ago
Help me please this will help my grade !
Leni [432]

Answer:

Point D

Step-by-step explanation:

5 0
3 years ago
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A real estate agent has 8 master keys to open several new homes. Only 1 master key will open any given house. If 40% of these ho
riadik2000 [5.3K]

Answer:

Step-by-step explanation:

Suppose F represents the value that a room is unlocked.

Then, we can assume that the probability of unlocked homes is:

P(unlocked homes) = P(U)

P(unlocked homes) = 40%

P(unlocked homes) = 0.40

Also, let us represent the value of the locked room with G.

P(locked homes) = P(G)

P(locked homes) = (1 - 0.40)

P(locked homes) = 0.60

Let the probability of selecting a correct key be P(S)

It implies that for the agent to use 3 keys, we have a combination of ^8C_3 possible ways for the set of keys.

Now; since only one will open the house, then:

P(select correct key) = P(S)

P(S) = \dfrac{ (^1_1) (^7_2)   }{   ^8_3 }

P(S) = \dfrac{21}{56}

P(S) = 0.375

Finally, for the real estate agent to have access to specific homes supposing the agent select three master keys at random prior to the time he left his office, Then:

P(F ∪ (G∩S) = P(F) + P(G∩S)

P(F ∪ (G∩S) = P(F) + P(G) × P(S)

P(F ∪ (G∩S) = 0.40 + (0.60×0.375)

P(F ∪ (G∩S) = 0.40 + 0.225

P(F ∪ (G∩S) =0.625

5 0
3 years ago
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