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postnew [5]
3 years ago
13

Destiny prepared 28 kilograms of dough after working 4 hours. How much dough did Destiny

Mathematics
1 answer:
madreJ [45]3 years ago
4 0

Answer:

Step-by-step explanation:

49

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Help meeeeedkxkdjsjs
Alex
18 - (8 - 3 • (2t + 5)) = 0



6t + 25 = 0



3.1 Solve : 6t+25 = 0

Subtract 25 from both sides of the equation :
6t = -25
Divide both sides of the equation by 6:
t = -25/6 = -4.167

Final answer is

t = -25/6 = -4.167
5 0
3 years ago
HELP ME!!!PLEASE ITS DUE TODAY!!
Radda [10]

Answer:

25quarts of grape juice, 50 quarts of water

Step-by-step explanation:

Do the math

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How many ways can the letters in the word CHEWY be arranged to form a five letter code
MakcuM [25]

Answer:

60 ways;

GOOD LUCK!

Step-by-step explanation:

The word CHEWY has 5 letters, Therefore, it can be arranged in 5!/2! = 120/2 = 60 ways.

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1 year ago
The best or first answer will be marked brainliest
Marysya12 [62]

Answer:

Need more infomation to write the equation.

Step-by-step explanation:

3 0
2 years ago
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Suppose that replacement times for washing machines are normally distributed with a mean of 9.3 years and a standard deviation o
Harlamova29_29 [7]

Answer:

The probability is 0.0643

Step-by-step explanation:

* Lets revise some definition to solve the problem

- The standard deviation of the distribution of sample means is called σM

- σM = σ/√n , where σ is the standard deviation and n is the sample size

- z-score = (M - μ)/σM, where M is the mean of the sample , μ is the mean

 of the population  

* Lets solve the problem

- The mean of the washing machine is 9.3 years

∴ μ = 9.3

- The standard deviation is 1.1 years

∴ σ = 1.1

- There are 70 washing machines randomly selected

∴ n = 70

- The mean replacement time less than 9.1 years

∴ M = 9.1

- Lets calculate z-score

∵ σM = σ/√n

∴ σM = 1.1/√70 = 0.1315

∵ z-score = (M - μ)/σM

∴ z-score = (9.1 - 9.3)/0.1315 = - 1.5209

- Use the normal distribution table of z to find P(z < -1.5209)

∴ P(z < -1.5209) = 0.06426

∵ P(M < 9.1) = P(z < -1.5209)

∴ P(M < 9.1) = 0.0643

* The probability is 0.0643

5 0
3 years ago
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