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3 years ago

If the point (-1/2, y) lies on the line whose equation is 2x - 3y = 6, what is the value of y?

Mathematics

1 answer:

salantis [7]3 years ago

4 0

Plug in the known x value

2(-1/2)-3y=6
-1-3y=6
-3y=7
y=-7/3

Final answer: -7/3

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The number 3.14 is a rounded value of the mathematical quantity pie. If you replace 3.14 with pie, what is the exact formula for

Oksana_A [137]

Answer:

2pier is the formula for circumference

Step-by-step explanation:

7 0

2 years ago

For brainiest:):):):):):):)

andrew-mc [135]

Answer:

15 = 0.025

16= 3 years

Step-by-step explanation:

15.

I=prt

15= (200)(r)(3)

200(3) = 600r

15 divided by 600r = 40 (0.025)

------------------------------------------------------

16.

I=prt

$t= \frac{I}{Ixp} \\t= \frac{90}{0.05x600} \\t= 3$

t= 3 years

5 0

3 years ago

the tennis team wants to purchase tshirts for its members . company A charges a$20 setup fee and $8 per shirt company B charges

MA_775_DIABLO [31]

Answer:

1) 5 2) the first one

Step-by-step explanation:

since the first time multiplying 8 to get a two digit number ending in zero is forty, i multiplied both by 5

2) 8 times 12= 96+20=116

i hope this helps u

pls give a brainliest (i only need one more!) and a thx

6 0

3 years ago

The length of the flower garden is 3 times as great as the width. What are the dimensions? The area is 48 sq m

Rudiy27

The correct answer is 144

8 0

3 years ago

A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength

irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

Let $\bar X$ = sample mean comprehensive strength

The z-score probability distribution for sample mean is given by;

Z = $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean comprehensive strength = 5500 psi

$\sigma$ = standard deviation = 100 psi

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P( $\bar X$ > 4985 psi)

P( $\bar X$ > 4985 psi) = P( $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ > $\frac{4985-5500}{\frac{100}{\sqrt{9} } }$ ) = P(Z > -15.45) = P(Z < 15.45)

= 0.99999

Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.

4 0

3 years ago