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noname [10]
3 years ago
8

Evaluate the expression 2(x+8)/3+1 when x=-2 show the steps in you calculation

Mathematics
1 answer:
katrin [286]3 years ago
8 0

Answer:

5

Step-by-step explanation:

2(x+8)/3+1

2(-2+8)/3+1

2(6)/3+1

12/3+1

4+1

5

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Help me solve 18.4/2.3*3.4+13.812
dexar [7]
=(8)(3.4)+13.812
=27.2 + 13.812
=41.012
the Answer is 41.012
7 0
2 years ago
To prepare for a bake-off, Clarissa used 560 grams of flour each day for 3 weeks. How many kilograms did Clarissa use in those 3
Sindrei [870]
Convert G to kg
560/1000=.56 kg a day

If the bake off was 5 days
.56*5= 2.8kg... per week
2.8kg*3= 8.4 kg for 3 weeks

If it was 7 days
.56*7 = 3.92 kg per week
3.92*3= 11.76 kg for 3 weeks
5 0
2 years ago
Pls help me <br> What is the diagram?
olga nikolaevna [1]

Answer:

c/e = e/d

Step-by-step explanation:

These are similar triangles. When you flip the larger one clockwise to enable you to see which sides are corresponding, then you find that:

c corresponds to e'

a corresponds to b

e corresponds to d

Therefore, c/e in the original position = e'/d in the flipped position.

<u>So c/e = e/d</u>

8 0
3 years ago
A lemonade receipt calls for 1/4 cup of lemon juice for every cup of water. Ploy the pairs in the table
jolli1 [7]

Answer:

where is the table tho

Step-by-step explanation:

7 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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