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Murljashka [212]
3 years ago
9

Item 3

Mathematics
2 answers:
Zina [86]3 years ago
7 0

Answer:

22

Step-by-step explanation:

Marina CMI [18]3 years ago
7 0
次沒這月山木口尸火尸火山尸十金竹火土木土金
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Talja [164]
Can you show the multiple choice one
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3 years ago
Find the distance between the points (2,0) and (-4,6)
N76 [4]

Answer:

You have to move 6 times to the left and 6 times down.

Step-by-step explanation:

If you're at (2,0), you move 2 times to the left, and then you're at (0,0).

Next move 4 times to the left. Now you're at (-4,0).

Now, move 6 times down, and now, you're at (-4,-6).  

7 0
3 years ago
Read 2 more answers
C-12=-4show me step by step
AfilCa [17]

Answer:

C = 8

Step-by-step explanation:

Rearrange the equation to make C the subject.

C - 12 = -4

Add 12 to both sides.

C - 12 + 12 = -4 + 12

C = -4 + 12

C = 8

Check it:

C = 8

So substitute the new found value into the original equation:

C - 12 = -4

8 - 12 = -4

-4 = -4

All good.

4 0
3 years ago
Read 2 more answers
Help me with my math for brainiest:)
MissTica
Answers:
1. P=3

Step by step:
P-5=-2 -move the constant to the right hand side and change its sign

P=-2+5 - calculate the sum

P=3


2. W=-2.8

Step by step:
W+13.2=10.4 - move the constant tot he right hand side and change its sign

W=10.4-13.3 - calculate the difference

W=-2.8

3. X=2/3

Step by step:
X-5/6=-1/6 - move the constant to the rig hand side and change its sign

X=-1/6+5/6 - calculate the sum

X=2/3


7 0
3 years ago
Asked what the central limit theorem says, a student replies, As you take larger and larger samples from a population, the histo
Arada [10]

Answer:

A. No, the student is not right. The central limit theorem says nothing about the histogram of the sample values. It deals only with the distribution of the sample means.

Step-by-step explanation:

No, the student is not right. The central limit theorem says nothing about the histogram of the sample values. It deals only with the distribution of the sample means. The central limit theorem says that if we take a large sample (i.e., a sample of size n > 30) of any distribution with finite mean \mu and standard deviation \sigma, then, the sample average is approximately normally distributed  with mean \mu and variance \sigma^2/n.

5 0
3 years ago
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