2 years ago

ANSWER HURRY PLSSSSSSSSSSSSSS

Mathematics

2 answers:

Andrews [41]2 years ago

7 0

Answer:

Its a function

Step-by-step explanation:

x cant be the same

KatRina [158]2 years ago

4 0

Answer:

Yes

Step-by-step explanation:

Yes it is a MANY TO ONE type function.

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What percent of 150 is 108?

N76 [4]

X% of 150 = 108

x/100 * 150 = 108

1.5x = 108

x =108 / 1.5

x = 72

Therefore 72% of 150 is 108

Hope this helps.

8 0

3 years ago

In a box of 25 switches, 3 are defective. what is the probability of randomly selecting a switch that is not defective? enter yo

sergey [27]

Not defective : 25 - 3 = 22
probability of not defective : 22/25

22/25 × 100% = 88%

5 0

3 years ago

Think About the Process In the table as x increases by 1, y increases by 550 . What step should you take to complete the table

kupik [55]

Answer:

D. Multiply

Step-by-step explanation:

Hope this helps pls give brainliest

5 0

3 years ago

Which graph shows the solution set for Negative 4.4 greater-than-or-equal-to 1.6 x minus 3.6?

____ [38]

Answer:

A number line going from negative 7 to negative 1. A closed circle is at negative 5. Everything to the right of the circle is shaded.

Step-by-step explanation:

-4.4 ≥ 1.6 x - 3.6

Solving for the value of x,

1.6 x ≤ -4.4 + 3.6

1.6 x ≤ - 0.8

Dividing 1.6 from both sides to know value of x

x ≤ - 0.5

8 0

3 years ago

Read 2 more answers

Suppose that 8% of the general population has a disease and that the test for the diesease is accurate 70% of the time. What is

balu736 [363]

Answer:

P = 0.332

Step-by-step explanation:

The probability of having the disease is 0.08

The probability that the test predicts with accuracy is 0.7.

We need to find the probability that the test positive for the disease.

Several cases may occur.

Case 1.

You have the disease and the test predicts it accurately

$P_1 = 0.08(0.7) = 0.056$

Case 2

You do not have the disease and the test predicts that you have it

$P_2 = 0.92(0.3) = 0.276$

Then the probability that the test predicts that you have the disease is the union of both probabilities P1 and P2

$P = P_1 + P_2\\\\P = 0.056 + 0.276\\\\P = 0.332$

8 0

3 years ago