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trapecia [35]
3 years ago
15

What is 7 please help me

Mathematics
2 answers:
irga5000 [103]3 years ago
6 0
8/10 is the answer to this problem
babymother [125]3 years ago
3 0
--------------------------------------------------------------------------------------

0.8

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Pls help answer this soon!!!!!
vladimir1956 [14]
13a) y = 0.45x

13b) 52 * 0.45 = 23.4

13c) I will let u figure this one out
7 0
3 years ago
Read 2 more answers
12p + 7 > 139 greater or less than
bazaltina [42]

Answer:

\Huge \boxed{p>11}

Step-by-step explanation:

First, subtract by 7 both sides of equation.

\displaystyle 12p+7-7>139-7

Solve.

\displaystyle 139-7=132

12p>132

Then, divide by 12 both sides of equation.

\displaystyle \frac{12p}{12}=\frac{132}{12}

Solve to find the answer.

\displaystyle 132\div12=11

\huge \boxed{p>11}, which is our answer.

3 0
3 years ago
Wait so the sum of interior angles
Amiraneli [1.4K]
<h3>Answer:   1260</h3>

====================================================

Work Shown:

n = number of sides = 9

S = sum of the interior angles of any polygon with n sides

S = 180(n-2)

S = 180(9-2)

S = 180(7)

S = 1260

8 0
2 years ago
Here we go another question i'm asking you guys to help me with because i don't understand this!
Alexandra [31]

Answer:

1. Less Than

2. Greater Than

Step-by-step explanation:

You know that 1/2 is equal to 4.5/9

So, 2/9 would be less than 1/2.

You know that 1/2 is equal to 5/10

So, 9/10 is greater than 1/2.

Compare each fraction by setting each fraction to the same denominator.

3 0
2 years ago
Consider the following scenario: Let P(C) = 0.4. Let P(D) = 0.5. Let P(C|D) = 0.6. a. Find P(C AND D). b. Are C and D mutually e
Nataly_w [17]

a. By definition of conditional probability,

P(C | D) = P(C and D) / P(D)  ==>  P(C and D) = 0.3

b. C and D are mutually exclusive if P(C and D) = 0, but this is clearly not the case, so no.

c. C and D are independent if P(C and D) = P(C) P(D). But P(C) P(D) = 0.2 ≠ 0.3, so no.

d. Using the inclusion/exclusion principle, we have

P(C or D) = P(C) + P(D) - P(C and D)  ==>  P(C or D) = 0.6

e. Using the definition of conditional probability again, we have

P(D | C) = P(C and D) / P(C)  ==>  P(D | C) = 0.75

3 0
3 years ago
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