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mash [69]
4 years ago
9

How can I solve that

Mathematics
1 answer:
tia_tia [17]4 years ago
3 0
B and for question 3 b
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If triangle ABC has the following
Free_Kalibri [48]

Answer:

Measure of side C is 7.14

Step-by-step explanation:

In this question, we are to find the length of the side C.

To get this, we are to employ the use of the cosine formula.

Mathematically, this is calculated as;

c^2 = a^2 +b^2 - 2ab*cos(C)

Where; a = 10 b = 3 and c = 15 degrees

Plugging these values into the equation, we have;

C^2 = 10^3 + 3^2 -2(3)(10)Cos 15

C^2 = 100 + 9 - 57.96

C^2 = 51.04

C = √(51.04)

C = 7.14

7 0
3 years ago
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Tommy has a piece of toast that has butter on one side, and he dropped it twice. Both times, it landed with the butter side up.
Kryger [21]
Its a one over two chance that the piece of toast won't land on the side with butter 
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3 years ago
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The graph on the left represents a system of equations.<br><br> How can the solution be located?
Andru [333]

The solution is the point where the lines meet.

The x coordinate is between 0 and 1

The y coordinate is between 2 and 3

The solution is approximately (x,y) = (-0.4, 2.9)


8 0
3 years ago
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1:05:10 <br> -10:30<br> subtracting but no negative number plzzzz need it now
kirill [66]
54:40 (if your referring to time)
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3 years ago
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A test for syphilis gives a positive result with probability 0.98 when tested on a person whohas the disease. The test gives a n
Elina [12.6K]

Answer:

a) P₁ = 0,0294

b) P₂ = 0,097

c) P₃  = 0,1264

P₃  is the total probability of the individual having a positive test result

d) P₄ = 0,232

Step-by-step explanation:

a) Probability that an individual has the disease and has a positive result is P₁ :

P₁ = The probability of having the disease * Probability of + in the test result

P₁ = 0,03 * 0,98

P₁ = 0,0294

b) the probability that an individual does not have the disease and has a positive test result P₂ is:

P₂ = 0,97 * 0,1

P₂ = 0,097

c) P₃   the sum of the two previous probabilities is:

P₃  = 0,0294 + 0,097

P₃  = 0,1264

P₃  is the total probability of the individual having a positive test result

d) Applying the Bayes theorem we can get the probability that an individual with a positive test result has the disease.  (P₄ )

Bayes theorem establishes:

P [ A/B ]  =  P[B/A] * P(A) / P(B)

In this case

P[ with disease/ given (+)tr]

= P [(+)Test/ with disease]* P (with disease)/ P of test +

P₄ = 0,98 * 0,03 / 0,1264

P₄ = 0,232

8 0
3 years ago
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