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artcher [175]
2 years ago
14

What is the missing number in this sequence? What is the missing number in this sequence?

Mathematics
1 answer:
Arlecino [84]2 years ago
4 0

Answer:

15_789(0)

Step-by-step explanation:

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If Pietra walked 11 miles during the week, how many miles did the two girls walk together?
Mashutka [201]
See what times 11 gives u ur answer
6 0
3 years ago
Consider the following formula used to estimate the height, h, of a seeding after w weeks since planting h=(1/5)w + (8/5)which o
Bogdan [553]

Answer:

w=5h-8

Step-by-step explanation:

Take the original formula h=(1/5)w+(8/5)

Subtract -8/5 on both sides to isolate the w, so h-8/5=(1/5)w

Now you have to get rid of the 1/5, so multiply 5(h-8/5), the 5 in the 8/5 cross each other out. You are left with 5h-8

7 0
3 years ago
The sum of two numbers is 54.The smaller number is 22 less than the larger number.what are the numbers?
lukranit [14]

Answer:

x=16 y=38

Step-by-step explanation:

x+y=54.......equation 1

x=y-22........ equation 2

substitute

y-22+y=54

2y-22=54

2y=54+22

2y=76

y=76/2

y=38''

x=y-22

x=38-22

x=16''

8 0
2 years ago
Need some help with this here problem: thanks :)
iVinArrow [24]

Answer:

2A

Step-by-step explanation:

\left(\left(-3\right)^{16^{\frac{1}{2}}}-\left(-7\right)^{8^{\frac{1}{3}}}\right)^{0.2}=32^{0.2}\\=32^{0.2}A\\32^{0.2}=2\\= 2A

5 0
3 years ago
Use the formula to find the standard error of the distribution of differences in sample means, x¯1-x¯2. Samples of size 100 from
garri49 [273]

Answer:

standard error = 2.11

Step-by-step explanation:

First we stablish the data that we have for each sample:

<u>Population 1</u>                                          <u>Population </u>2

n₁ = 100                                                     n₂ = 90

x¯1= 95                                                    x¯2 = 75

σ₁ = 14                                                        σ₂ = 15                  

To calculate the standard error of each sample we would use the formulas:

σ = σ₁/√n₁

σx¯2 =  σ₂/√n₂

Now, in order to obtain the standard error of the differences between the two sample means we combine those two formulas to obtain this:

σx¯1 - σ x¯2  = √(σ₁²/n₁ + σ₂²/n₂ )

So as you can see, we used the square root to simplify and now we require the variance of each sample (σ²):

σ₁² = (14)² = 196

σ₂² = (15)² = 225

Now we can proceed to calculate the standard error of the distribution of differences in sample means:

σx¯1 - σx¯2  = √(196/100 + 225/90) =  2.11

This gives an estimate about how far is the difference between the sample means from the actual difference between the populations means.

6 0
3 years ago
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