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laiz [17]
2 years ago
6

Ralph has 957 race car stickers. He gave 10 to Ken. He gave 100 to Matt. How many stickers does Ralph have left?

Mathematics
2 answers:
Andrei [34K]2 years ago
7 0
957-10=947. 947-100=847,so Ralph has 847 race car stickers left.
zaharov [31]2 years ago
6 0
Your answer is 847:)
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Landon babysits and works part time at tge water park over the summer. onw week, he babysat for 3 hours and worked at the water
Tems11 [23]
B = hourly rate for babysitting and w = hourly rate for working at water park

3b + 10w = 109...multiply by -8
8b + 12w = 177...multiply by 3
----------------------
-24b - 80w = - 872 (result of multiplying by -8)
24b + 36w = 531 (result of multiplying by 3)
---------------------add
- 44w = - 341
w = -341/-44
w = 7.75 <=== hourly rate for working at water park

3b + 10w = 109
3b + 10(7.75) = 109
3b + 77.50 = 109
3b = 109 - 77.50
3b = 31.50
b = 31.50/3
b = 10.50 <== hourly rate for babysitting
8 0
1 year ago
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coldgirl [10]
<span>(x + 2)</span>·<span>2 = a

(1 + 2)</span>·2 = a

3·2 = a

a = 6
6 0
1 year ago
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An old rectangular tank with length 0.3 m could hold 154 L of water. A new similar tank has a length of 1.5 m. What is the capac
dimaraw [331]
The length of the new tank is 5 times bigger than the old one, so 154×5=770. As a result, the capacity of the new tank is 770L. Hope it help!
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2 years ago
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Arthur wrote that 15 – 14.7 = 3.
PilotLPTM [1.2K]
3 is incorrect because 14.7 + 3 = 17.7
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8 0
2 years ago
Which of the following is NOT a property of the​ chi-square distribution?
LenKa [72]

Answer:

A) The mean of the​ chi-square distribution is 0

A) is not a property of chi square distribution.

Step-by-step explanation:

We have to find the properties of a chi square test.

A) False

The mean of a chi square distribution is equal to the degree of freedom.

B) True

The​ chi-square distribution is non symmetric.

C) True

The chi square value can be zero and positive.

It can never be negative because it is based on a sum of squared differences .

D) True

The​ chi-square distribution is different for each number of degrees of​ freedom.

When we are working with a single population variance, the degree of freedom is n - 1.

5 0
2 years ago
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