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Vikentia [17]
3 years ago
9

Select all the situations that can be modeled with an equation. please help!!

Mathematics
1 answer:
Tema [17]3 years ago
6 0

The answer is the movie Stan picked cost 2.50 more than the movie Blake picked.

Step-by-step explanation:

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Find the surface area of the rectangular prism<br><br> 2mi 2mi<br> 4mi
skad [1K]

Answer:

the SA is 40

Step-by-step explanation:

the formula for SA of a rectangular prism is 2(lw + lh + wh)

so it would be: 2(2x2+2x2+4x2)

can i get brainliest please? i only need two more

4 0
3 years ago
Find the greatest common factor of 10, 30,10,30,10, comma, 30, comma and 454545.
borishaifa [10]

Answer:

GCF = 5

Step-by-step explanation:

Given:

The numbers are given as:

10, 30 and 45

A factor of a number is a number by which the given number is evenly divisible.

Example: 2 is a factor of 4 as 4\div 2 =2. So, 4 is evenly divisible by 2 and hence 2 is a factor of 4.

Now, factors of 10 = 1, 2, <u>5</u>, 10.

Factors of 30 = 1, 2, 3, <u>5</u>, 6, 10, 15, 30.

Factors of 45 = 1, 3, <u>5</u>, 9, 15, 45.

So, the greatest common factor in all the three numbers is 5.

Hence, the greatest common factor of 10, 30 and 45 is 5.

5 0
4 years ago
323.6 divided by 47 rounded to the nearest tenth
inn [45]

6.9

                         ......................................................................                      

7 0
3 years ago
Read 2 more answers
Determine if 9x^2-42x+49 can be the area of a square. If so, what would the value of X be if the square is 64 meters? A=s^2
Anton [14]
I don't know if it could be the area of a square but x has to be 8.34. (ROUNDED)
8 0
3 years ago
Which of the following statements is not true? a) The standard deviation of the sampling distribution of sample mean = σ/√n b) T
I am Lyosha [343]

Answer:

e) The mean of the sampling distribution of sample mean is always the same as that of X, the distribution from which the sample is taken.

Step-by-step explanation:

The central limit theorem states that

"Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean approaches a normal distribution with a mean of μ and a variance of σ2/N as N, the sample size, increases."

This means that as the sample size increases, the sample mean of the sampling distribution of means approaches the population mean.  This does not state that the sample mean will always be the same as the population mean.

6 0
4 years ago
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