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4 years ago

Do you know the answer to this?

Mathematics

1 answer:

svetlana [45]4 years ago

7 0

Answer:

The new 12 PM temperature should be 2.5 degrees Fahrenheit. And Dana is correct; you can subtract 1.4 from 2.5 (2.5 - ( -1.4) to find out the change in temperature from 6 AM to 12 PM on the second day.

Note:

Because of the direction the subtraction problem is set up between 2.5 and -1.4, the two negative signs will result in an addition sign according to the rules of algebra. Meaning that, the difference between -1.4 and 2.5 is approximately 3.9.

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OlgaM077 [116]

Answer:

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3 years ago

Read 2 more answers

Evaluate 5 - (4 + 2)2<br> O A. 9<br> O B. -15<br> O C. 5<br> O D.-31

solong [7]

Answer:

exponents first then multiply and subtract after

Step-by-step explanation:

the answer is 5

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3 years ago

What are the values of x in the equation 4x2 + 4x - 3 = 0?

Varvara68 [4.7K]

Answer: 1.5, -0.5

Step-by-step explanation:

4x2 + 4x -3 = 0

4x2 + 4x = 3

x2 + x = 3/4

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3 years ago

590 divided by 50779

Strike441 [17]

590/50779= 0.1161898 or 0.116

8 0

3 years ago

An article on polygraph testing of FBI agents indicated that the probability of a false-positive (a trustworthy person who nonet

Alexandra [31]

Answer:

The variable x will follow a geometric distribution, with mean = 3 and standard deviation = 3.46.

The values for P(x) are:

$P(0)=0.25\\\\P(1)=0.1875\\\\P(2)=0.1406\\\\P(3)=0.1055\\\\P(4)=0.0791\\\\P(5)=0.0593\\\\P(6)=0.0445\\\\P(7)=0.0334\\\\P(8)=0.025\\\\P(9)=0.0188\\\\P(10)=0.0141\\\\$

Step-by-step explanation:

This kind of random variables can be descripted by the geometrical distribution.

This distribution shows the probability of having an amount of "failures" before the first "success" (or the other way).

Let x be the number of trustworthy FBI agents tested until someone fails the test. The probability of failing a test is p=0.25

Then, the probability of x is:

$P(x)=q^x\cdot p$

The values for the first x are:

$P(0)=0.75^0\cdot 0.25=0.25\\\\P(1)=0.75^1\cdot 0.25=0.1875\\\\P(2)=0.75^2\cdot 0.25=0.1406\\\\P(3)=0.75^3\cdot 0.25=0.1055\\\\P(4)=0.75^4\cdot 0.25=0.0791\\\\P(5)=0.75^5\cdot 0.25=0.0593\\\\P(6)=0.75^6\cdot 0.25=0.0445\\\\P(7)=0.75^7\cdot 0.25=0.0334\\\\P(8)=0.75^8\cdot 0.25=0.025\\\\P(9)=0.75^9\cdot 0.25=0.0188\\\\P(10)=0.75^{10}\cdot 0.25=0.0141\\\\$

This probability will be descending as the the variable x increases.

The mean is:

$\mu=\frac{1-p}{p}= \frac{1-0.25}{0.25}=\frac{0.75}{0.25}=3$

The standard deviation is:

$\sigma=\sqrt{\frac{1-p}{p^2}} =\sqrt{ \frac{0.75}{0.25^2} }=\sqrt{12}= 3.46$

5 0

3 years ago

Do you know the answer to this?​

Do you know the answer to this?