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Novay_Z [31]
3 years ago
15

Can someone help me with this pls. I’ll give brainliest

Mathematics
1 answer:
nasty-shy [4]3 years ago
3 0

Answer:

26

Step-by-step explanation:

a triangle is 180 degrees add 120 + 34 to get 154

180 -154 = 26

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9.45×10^6 in standard form
FrozenT [24]

Answer:

That is written in standard form, no changes are needed.

9.45×10^6 is the answer

7 0
2 years ago
Cindy's cylindrical paint bucket has a diameter of 12 inches and a height of 14.5 inches. If 1 gallon = <img src="https://tex.z-
ser-zykov [4K]

Answer:

Base area is 113.14 inches²

Volume is 1640.75 inches²

Number of gallons is 7.1 gallons

Step-by-step explanation:

Please refer to the attached image for explanations

7 0
3 years ago
Write a system of equations in x and y describing the situation an order of fries 2 hamburgers and 3 drinks cost $12 an order of
Rufina [12.5K]
Let h be the price of a hamburger, d be the price of a drink, and f for the prices of fries.
2h+3d=12
4f+3h+5d=15
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this is a system of 3 equations. 
8 0
3 years ago
Please help could you explain or show work so I will remember how to do problems like this?
antiseptic1488 [7]

Answer:

x = -8

Step-by-step explanation:

4x - (x - 4) = - 20

Distribute the minus sign

4x - x +4 = -20

Combine like terms

3x+4 = -20

Subtract 4 from each side

3x+4-4 = -20-4

3x = -24

Divide by 3

3x/3 = -24/3

x = -8

3 0
3 years ago
Read 2 more answers
The cost of a daily newspaper varies from city to city. However, the variation among prices remains steady with a population sta
vekshin1

Answer:

Yes, there is sufficient evidence to support the claim that the mean cost is  $1.

Step-by-step explanation:

Data Given:

The population standard deviation \sigma = $0.2

The sample mean cost \bar {X} = $0.93

The sample size n = 12

From above we can use the Z-test for testing the mean from the above given data.

To check whether the mean cost of newspaper is $1.00

\mathbf{H_o} : \mu = $1

\mathbf{H_1} : \mu  \neq $1

The test statistics Z = \frac{\bar {X}- \mu}{\frac{\sigma }{\sqrt{n}} }

Z = \frac{0.93- 1}{\frac{0.2}{\sqrt{12}} }

Z = -1.212

The P-value = 2P (Z< - 1.212)

= 2 × 0.1128

= 0.2256

Since the value of P is more than the significance level; do not reject the \mathbf{H_o}

Conclusion: We therefore conclude that there is sufficient evidence to support the claim that the mean cost is  $1.

8 0
3 years ago
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