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Gala2k [10]
3 years ago
12

Perimeter of triangle? need some help please!​

Mathematics
1 answer:
pychu [463]3 years ago
3 0
You need to subtract the numbers for 180 and you will have the answer
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What's the hcf and lcm of 5and 7​
svetlana [45]

Answer:

gcf, hcf, gcd (5; 7) = 1: greatest (highest) common factor (divisor), calculated. Coprime numbers (relatively prime). Numbers have no common prime factors.

7 0
3 years ago
Read 2 more answers
Drew invests $70.00. It earns 50% interest annually.
VladimirAG [237]

Step-by-step explanation:

50% interest annually.

that means he gets 50% interest of the invested capital every year.

and that means he gets 50% of $70 in one year.

70 = 100%

1% = 100%/100 = 70/100 = $0.70

50% = 1%×50 = 0.7 × 50 = $35

he will earn $35 interest in one year.

as you noticed: 50% simply means 1/2 (as 100% stands for the whole).

3 0
1 year ago
A florist received 30 dozen roses. She order 20 dozen. What percent did she receive in excess
KonstantinChe [14]
Extra 10, 10 is half of what she ordered so she received an extra 50%
8 0
3 years ago
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-2x-2+x^2+x+180+-2x-2=180
Dominik [7]

Answer:

x= 4, -1

Step-by-step explanation:

-2x - 2 + x^2 + x + 180 - 2x - 2 = 180

add like terms and put in descending order

x^2 - 3x + 176 = 180

subtract 180 from both sides

x^2 - 3x - 4 = 0

factor out the equation

(x-4)(x+1)=0

solve for x

x-4=0        x+1=0

x=4            x=-1

5 0
3 years ago
According to a recent​ publication, the mean price of new mobile homes is ​$63 comma 800. Assume a standard deviation of ​$7900.
wolverine [178]

Answer:

a. For n=25, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are ​$63,800 and ​$1,580​, respectively.

b. For n=50, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are ​$63,800 and ​$1,117​, respectively.

Step-by-step explanation:

In this case, for each sample size, we have a sampling distribution (a distribution for the population of sample means), with the following parameters:

\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{n}

For n=25 we have:

\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{25}=7,900/5=1,580

The spread of the sampling distribution is always smaller than the population spread of the individuals. The spread is smaller as the sample size increase.

This has the implication that is expected to have more precision in the estimation of the population mean when we use bigger samples than smaller ones.

If n=50, we have:

\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{50}=7,900/7.07=1,117

4 0
3 years ago
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