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3 years ago

I got stuck here on this question... this is Algebra 2 btw

Mathematics

1 answer:

svetlana [45]3 years ago

3 0

I don’t think this is algebra 2 but ok

I used the formula (32°F − 32) × 5/9 = 0°C (but ofc replaced the numbers with 99)

Yeah and i rounded 98.6 to 99. 99 Fahrenheit is 37.2222... so i rounded it down to 37. So i think the answer is 37.

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A year has 365 days, and a day has 24 hours. If an hour has 60 minutes and a minute has 60 seconds, how many seconds are there i

motikmotik

Ok, so we need to take 60 x 60. That gives us 3600, which is the amount of seconds in 60 minutes. Then we need to take 3600 x 24, to figure out the number of seconds in 24 hours (1 full day). That gives us 86,400. Finally, we take 86400 x 365, to determine how many seconds are in 1 full year (365 days). That gives us the answer of <span>31536000. Hope this helps!</span>

7 0

3 years ago

Read 2 more answers

Let g(x)=2x and h(x)=x^2+4 find the value <br> 1.) (g*h)(0)<br> 2.) (h*g) (a)

pentagon [3]

(HoG)(x) = (2x)2 + 4 simply because HoG(x) is actually H(G(x)). So where ever there was an x in H(x) we substitute our value of G(x). Now the only thing left is to put in the 1. so out answer is (2(1))2 + 4 = 8Only in the 6th grade ; )

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3 years ago

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6. You can buy 3 apples at Walmart for $1.20. You can buy 5 of the same apples at Sprouts for

luda_lava [24]

Answer:

Walmart: 1.20 divided by 3= 0.4

Sprouts: 1.35 divided by 5= 0.27

Sprouts has a better deal

5 0

3 years ago

Find the equation of the line with a slope of 3/4 that goes through the point (8,10)

GenaCL600 [577]

the answer is ......... y=3/4+10

7 0

3 years ago

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Find the necessary confidence interval for the binomial proportion p. (Round your answers to three decimal places.) A 90% confid

frutty [35]

Answer:

[0.875;0.925]

Step-by-step explanation:

Hello!

You have a random sample of n= 400 from a binomial population with x= 358 success.

Your variable is distributed X~Bi(n;ρ)

Since the sample is large enough you can apply the Central Limit Teorem and approximate the distribution of the sample proportion to normal

^ρ≈N(ρ;(ρ(1-ρ))/n)

And the standarization is

Z= ^ρ-ρ ≈N(0;1)

√(ρ(1-ρ)/n)

The formula to estimate the population proportion with a Confidence Interval is

[^ρ ± $Z_{1-\alpha/2}$ *√(^ρ(1-^ρ)/n)]

The sample proportion is calculated with the following formula:

^ρ= x/n = 358/400 = 0.895 ≅ 0.90

And the Z-value is $Z_{1-\alpha/2} = Z_{0.95} = 1.648$ ≅ 1.65

[0.90 ± 1.65 * √((0.90*0.10)/400)]

[0.875;0.925]

I hope you have a SUPER day!

5 0

2 years ago