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Igoryamba
3 years ago
11

If p ÷2 = 4 and 2 - q = 4, what is the value of 2p + q a 12 b 14 c 18 d 22

Mathematics
1 answer:
vodka [1.7K]3 years ago
8 0

Answer:

the answer is second one 14

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One day, a person went to a horse racing area. Instead of counting the number of humans an horses, he conuted 74 heads and 196 l
BigorU [14]
X = the number of humans and y = the number of horses.

x+y=74
2x+4y=196

Because the number of humans and horses together is 74, and the total number of legs (2 per every human, x, and 4 per every horse, y) is 196.  Then, just use elimination to solve.

-2(x+y=74)\\2x+4y=196\\\\-2x-2y=-148\\2x+4y=196\\\\2y=48\\y=24

So, now that you have y, you can plug it into the first equation to find x:

x+y=74\\x+24=74\\x=50

So, x = 50 and y = 24, so there are 50 humans and 24 horses.
The correct answer is B.
4 0
3 years ago
I really need help fast please
spin [16.1K]
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8 0
3 years ago
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Add an intersection the red light times normally distributed by the mean of three minutes and a standard deviation of .25 minute
Soloha48 [4]

95% of red lights last between 2.5 and 3.5 minutes.

<u>Step-by-step explanation:</u>

In this case,

  • The mean M is 3 and
  • The standard deviation SD is given as 0.25

Assume the bell shaped graph of normal distribution,

The center of the graph is mean which is 3 minutes.

We move one space to the right side of mean ⇒ M + SD

⇒ 3+0.25 = 3.25 minutes.

Again we move one more space to the right of mean ⇒ M + 2SD

⇒ 3 + (0.25×2) = 3.5 minutes.

Similarly,

Move one space to the left side of mean ⇒ M - SD

⇒ 3-0.25 = 2.75 minutes.

Again we move one more space to the left of mean ⇒ M - 2SD

⇒ 3 - (0.25×2) =2.5 minutes.

The questions asks to approximately what percent of red lights last between 2.5 and 3.5 minutes.

Notice 2.5 and 3.5 fall within 2 standard deviations, and that 95% of the data is within 2 standard deviations. (Refer to bell-shaped graph)

Therefore, the percent of  red lights that last between 2.5 and 3.5 minutes is 95%

8 0
3 years ago
What happens to the standard deviation of the average of a sample as the sample size increases? Group of answer choices It gets
NeX [460]

Answer:

Gets smaller

Step-by-step explanation:

- The standard deviation is the quantification of spread of data. According to descriptive statistics the standard deviation s is given by:

                             s = Σ (  x - u ) / sqrt ( n )

Where, n : sample size

            u : Mean value

- So we see that standard deviation (s) is inversely proportional to square root of sample size (n).

- We can see that as sample size (n) increases the standard deviation (s) decreases.

3 0
3 years ago
PLEASE HELP ME!! BRAINLIEST AND 60 POINTS
Brilliant_brown [7]

\boxed{  \tt{its \: a \: straight \: line \: graph}}

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