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Vladimir [108]
2 years ago
13

2.

Mathematics
1 answer:
Anuta_ua [19.1K]2 years ago
4 0
According to my calculations the answer to this problem is ur mommy
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Work out m and c for the line:<br> y−4x=−1
Eduardwww [97]

Step-by-step explanation:

y -4x = -1

y = 4x -1

then y = Mx + b

m = 4

b = -1

7 0
3 years ago
Translation: 4 units left and 4 units up<br> J(−1, −2), A(−1, 0), N(3, −3)
deff fn [24]

Answer:

J(-5,2), A(-5,4), and N(-1,1)

Step-by-step explanation:

3 0
4 years ago
What is the sum of the interior angles of the polygon pictured below?
Lostsunrise [7]

Answer:

37

Step-by-step explanation: IM MAKING A GUESS IF ITS WRONG IM SORRY  I TIRED

5 0
3 years ago
Triangle A B C is reflected and then dilated to form smaller triangle A double-prime B double-prime C double-prime Which transfo
Gnoma [55]

Answer:

a reflection and a dilation

Step-by-step explanation:

in the wording, it was stated that the triangle was reflected then dilated.

6 0
4 years ago
A diagnostic test for a disease is such that it (correctly) detects the disease in 90% of the individuals who actually have the
Ne4ueva [31]

Answer:

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

Step-by-step explanation:

Conditional Probability

We use the conditional probability formula to solve this question. It is

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

In this question:

Event A: Test positive

Event B: Has the disease

Probability of a positive test:

90% of 3%(has the disease).

1 - 0.9 = 0.1 = 10% of 97%(does not have the disease). So

P(A) = 0.90*0.03 + 0.1*0.97 = 0.124

Intersection of A and B:

Positive test and has the disease, so 90% of 3%

P(A \cap B) = 0.9*0.03 = 0.027

What is the conditional probability that she does, in fact, have the disease

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.027}{0.124} = 0.2177

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

3 0
3 years ago
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