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Naddik [55]
2 years ago
6

PLS HELP OMG ITS ALGEBRA 1 im gonna drop out at this point

Mathematics
1 answer:
Inessa05 [86]2 years ago
6 0

Answer: h≈3.42in

Good luck!

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Plz help me schools basically here for me
nevsk [136]

Here's what i did:

I broke down the fraction entirely.

3 / 5 = 6 / 10

divide 6 by two and divide 18 by two. This makes 3 / 10 = 9.

divide 3 by three and 9 by three, making 1 / 10 = 3.

if you need 7 / 10 of the number (30) then do 3*7.

The answer is 21.

8 0
3 years ago
A television screen, length is 16 1/2 inches, width is w inches, and area is 462 square inches. Select all THREE equations that
tatiyna

Answer:

it's B, C, and D

Step-by-step explanation:

A. w ⋅ 462 = 16 1/2

not A

w * a ≠ l

B. 16 1/2 ⋅ w = 462

is B

l * w = a

C. 462 ÷ 16 1/2 = w

is C

a / l = w

D. 462 ÷ w = 16 1/2

is D

a / w = l

E. 16 1/2 ⋅ 462 = w

not E

l * a ≠ w

3 0
2 years ago
A genetic experiment involving peas yielded one sample of offspring consisting of 409 green peas and 171 yellow peas. Use a 0.05
grigory [225]
The usual expectation for this kind of experiment is that the peas would yield green and yellow peas in a 3:1 ratio, or 75% green to 25% yellow. So your null hypothesis is that the proportion of yellow peas is p=0.25.

You're testing the claim that 26% of the offspring will be yellow, which means the alternative hypothesis is that the proportion of yellow peas is actually 0.26, or more generally that the expected proportion is greater than 0.25, or p>0.25.

The test statistic in this case will be

Z=\dfrac{\hat p-p_0}{\sqrt{\dfrac{p_0(1-p_0)}n}}

where p_0 is the proportion assumed under the null hypothesis, \hat p is the measured proportion, and n is the sample size. You have p_0=0.25, \hat p=\dfrac{171}{171+409}\approx0.29, and n=409+171=580, so the test statistic is

Z=\dfrac{0.29-0.25}{\sqrt{\dfrac{0.25\times0.75}{580}}}\approx2.2247

Because you're testing p>p_0, this is a right-tailed test, so the P-value is

\mathbb P(Z>2.2247)\approx0.0131

The critical value for a right-tail test at a 0.05 significance level is Z_\alpha\approx1.6449, which means the rejection region is any test statistic that is larger than this critical value. Since Z>Z_\alpha in this case, we reject the null hypothesis.

So the conclusion for this test is that the sample proportion is indeed statistically significantly different from the proportion suggested by the null hypothesis.
8 0
3 years ago
Read 2 more answers
Kyndal wants to buy a lamp that
fenix001 [56]

Answer:

$39.36

Step-by-step explanation:

Since its 20% off that means we still have a remaining 80% so first multiply 0.8 to the 82

82x0.8= 65.6

Since there is a additional 40% off multiply by 0.4 to get the discount amount

65.6x0.4= 26.24

Subtract the discount from the price

65.6-26.24= 39.36

5 0
3 years ago
Find the angle of this sector. <br>on the image ​
KatRina [158]

Answer:

\alpha =107.4^{o}

Step-by-step explanation:

15=\frac{\pi (8)\alpha }{180}

\alpha =\frac{(15)(180)}{8\pi } =\frac{2700}{25.13}=107.4

Hope this helps

5 0
2 years ago
Read 2 more answers
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