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Crank
3 years ago
10

Express each percent as a decimal.a. 58%b. 15.6%C. 5 1/4%​

Mathematics
1 answer:
Darya [45]3 years ago
5 0

Answer:

A) 0.58 (move the decimal point twice to the left b/c ur dealing with 100)

B) 0.156 (move the decimal point twice to the left b/c ur dealing with 100)

C) 0.0525 (move the decimal point twice to the left b/c ur dealing with 100)

Step-by-step explanation:

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A number divided by 6 minus -3 equals 12​
liberstina [14]

Let the number be x.

Therefore, by the problem

x/6-(-3) = 12

or, x/6+3 = 12

or, x/6 = 12-3

or, x/6 = 9

or, x = 9 × 6

or, x = 54

The number is 54.

4 0
3 years ago
Read 2 more answers
How Can associative Property be used to mentally find 48+82?
Marizza181 [45]
Associative property of addition represents this equation:
a + b = b + a
So, how would it be helpful with this given equation?
=> 48 + 82
=> Let's start with the ones place value.
(2 + 8) = 10, bring down 0, carry 1 then ( 4 + 8) = 12 + 1 = 13
So the answer is 130.
If we are going to do it vice versa, still expect that the same answer will occur.
6 0
3 years ago
You play two games against the same opponent. The probability you win the first game is 0.4. If you win the first game, the prob
Ilia_Sergeevich [38]

Answer:

a) No

b) 42%

c) 8%

d) X               0                 1                2

   P(X)           42%            50%         8%

e) 0.62

Step-by-step explanation:

a) No, the two games are not independent because the the probability you win the second game is dependent on the probability that you win or lose the second game.

b) P(lose first game) = 1 - P(win first game) = 1 - 0.4 = 0.6

P(lose second game) = 1 - P(win second game) = 1 - 0.3 = 0.7

P(lose both games) = P(lose first game)  × P(lose second game) = 0.6 × 0.7 = 0.42 = 42%

c)   P(win first game)  = 0.4

P(win second game) = 0.2

P(win both games) = P(win first game)  × P(win second game) = 0.4 × 0.2 = 0.08 = 8%

d) X               0                 1                2

   P(X)           42%            50%         8%

P(X = 0)  =  P(lose both games) = P(lose first game)  × P(lose second game) = 0.6 × 0.7 = 0.42 = 42%

P(X = 1) = [ P(lose first game)  × P(win second game)] + [ P(win first game)  × P(lose second game)] = ( 0.6 × 0.3) + (0.4 × 0.8) = 0.18 + 0.32 = 0.5 = 50%

e) The expected value  \mu=\Sigma}xP(x)= (0*0.42)+(1*0.5)+(2*0.08)=0.66

f) Variance \sigma^2=\Sigma(x-\mu^2)p(x)= (0-0.66)^2*0.42+ (1-0.66)^2*0.5+ (2-0.66)^2*0.08=0.3844

Standard deviation \sigma=\sqrt{variance} = \sqrt{0.3844}=0.62

8 0
3 years ago
Which inequality does this graph represent?
lana [24]

Answer:

if the line counts then d if it doesnt then b

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Plz Help With This Math Brainliest First Person
In-s [12.5K]

Answer:

∠L = 54°

Step-by-step explanation:

5x + 2x + 3x = 180 (all angles in a triangle add up to 180)

10x = 180

x = 18°

∠L = 3x

sub x = 18

3(18) = 54

∠L = 54°

4 0
3 years ago
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