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Gemiola [76]
3 years ago
8

(: (: (: (: (: (: (: (: (: (: (: (: (:

Mathematics
2 answers:
sammy [17]3 years ago
8 0

Answer:

3

Step-by-step explanation:

I can see it in the demonstration graph

stellarik [79]3 years ago
4 0

Answer:

3

Step-by-step explanation:

Male: 12

Female: 9

12 - 9 = 3

Hopes this helps

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Drag the tiles to the boxes to form correct pairs. Match each function to the equation of the tangent line to its graph at x = 2
Ede4ka [16]

Step-by-step explanation:

the picture includes the answer and work

I plugged in 2 for x

the equations that got the same answer, I put together

3 0
3 years ago
-4 = x -1 can I see you work it out please?
kherson [118]
We need to get x alone, to do that we add 1 to both sides to cancel out the -1 on the right.
-4 = x -1
+1 +1
-3=x

This means x is equal to -3. Hope this helps!
4 0
3 years ago
Read 2 more answers
Plzzzz help !!!! 15 points
ArbitrLikvidat [17]

Answer:

1. 17,20

2. 40,80

Step-by-step explanation:

1. 5+3=8

8+3=11

11+3=14

14+3=17

17+3=20

pattern is +3

2. 2.5*2=5

5*2=10

10*2=20

20*2=40

40*2=80

pattern is *2

6 0
3 years ago
Read 2 more answers
Simplify the expression by combining like terms -4f-9-f+15​
shusha [124]

Answer:

-5f+6

Step-by-step explanation:

-4f-f = -5f

15-9= 6

Answer is -5f+6

Hope this helps!

4 0
2 years ago
Read 2 more answers
slader Suppose that 8% of all bicycle racers use steroids, that a bicyclist who uses steroids tests positive for steroids 96% of
d1i1m1o1n [39]

Answer:

P = 0.4812

Step-by-step explanation:

First, we need to use here two expressions and then do the calculations.

The first one is the conditional probability which is:

P(B|A) = P(A∩B)/P(A)   (1)

The second expression to use has relation with the Bayes's theorem which is the following:

P(D|C) = P(C|D)*P(D) / P(C|D)*P(D) + P(C|d)*P(d)   (2)

Now, the expression (2) is the one that we will use to calculate the probability of a selected random bicyclist who tests positive for steroids.

So, in this case, we will call C for positive and D that is using steroids and d is the opposite of d, which means do not use steroids.

Then, the probabilities are the following:

P(D) = 8% or 0.08

P(C|D) = 96% or 0.96

P(C|d) = 9% or 0.09

P(d) = 1 - 0.08 = 0.92

With these data, let's replace in expression 2

P(D|C) = 0.96 * 0.08 /0.96 * 0.08 + 0.09*0.92

P(D|C) = 0.0768 / 0.1596

P(D|C) = 0.4812 or 48.12%

8 0
2 years ago
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