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yarga [219]
3 years ago
14

A hexagon has 5 sides measured as 115 , find the sixth side

Mathematics
1 answer:
aev [14]3 years ago
8 0

Answer:

31

Step-by-step explanation:

115 divided by 5 equals 31 and each side measures 31 so the 6th side measures 31

or

Angle sum of hexagon is 720 .

So,116*5(5 side are given)

=580

580+x=720        (x is the  sixth side of hexagon)

x=720-580

=140°

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Edward owes his parents $20 for a new video
Galina-37 [17]

Answer:

it would take Edward 8 to pay back his debt

Step-by-step explanation:

every 2 days he pays his parents 5 bucks so because 5 times 4 equals 20 he would have to multiply the 4 by 2 and that gets you 8 days

3 0
3 years ago
Which of the following are solutions to the system
Tomtit [17]

Answer:

A & B

Step-by-step explanation:

5x - 2y = 10 (1)

-2.5x + y = -5 (2)

When you multiply (2) by -2, you get (1), so there can be many solutions

To choose from the given options, plug in the values to check which ones satisfy the equation

5x - 2y = 10

A) (2,0)

5(2) - 2(0) = 10

10 = 10 (true statement)

B) (-2,-10)

5(-2) - 2(-10) = 10

-10 + 20 = 10

10 = 10 (true statement)

5 0
3 years ago
If a one dollar bill is 0.0001 meters thick, how many meters tall would a stack of 4 trillion one dollar bills be?
Luden [163]
So multiply .0001 by 4,000,000,000,000.
so use the decimal thing 1st.
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7 0
4 years ago
Read 2 more answers
A manufacturer makes golf balls whose weights average 1.62 ounces, with a standard deviation of 0.05 ounces. Estimate the probab
saul85 [17]

Answer:

P(-1 < z < 1)  = 0.3174

Step-by-step explanation:

Mean (μ) = 1.62 ounces

Standard Deviation (σ) = 0.05

No of balls (sample size n) = 100

X = weight of a ball

Weight of a group of 100 balls must lie in the range 162 ± 0.5 ounces i.e. weight of a single ball will be 162/100 ± 0.5/100 ounces = 1.62 ± 0.005 ounces.

So, we need to find the probability P (1.615 < X < 1.625). We will use the central limit theorem.

z = (Χ' - μ)/(σ/\sqrt{n})

P (1.615 < X < 1.625) = (\frac{1.615 - 1.62}{0.05/\sqrt{100} } < (Χ - μ)/(σ/\sqrt{n}) < \frac{1.625 - 1.62}{0.05/\sqrt{100} })

                                = (-1 < z < 1)

We need to find the probability of P (-1 < z < 1) by looking at the Normal Distribution Probability Table.

In order to make our working simpler, we need to break P (-1 < z < 1) into two parts: P(z < 1) and P(z > -1)

The probability for areas under the normal curve are given for P(z>X) so we can directly find the probability of P (z > -1) by referring to the normal probability table.

P(z > -1) = 0.1587

We can calculate P(z < 1) by subtracting P(z >1) from the total probability (i.e. 1). P(z >1) can be obtained from the normal probability table.

P(z < 1) = 1 - 0.8413 = 0.1587

By adding the two probabilities together, we get:

P(-1 < z < 1) = P(z < 1) + P (z > -1)

                   = 0.1587 + 0.1587

P(-1 < z < 1)  = 0.3174

6 0
3 years ago
Kenneth walks 637 yards from his front door to the bus stop. What is this distance in meters? Round the answer to the nearest me
Romashka-Z-Leto [24]
582.4 but if you round its 582 meters
8 0
3 years ago
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