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ICE Princess25 [194]
2 years ago
13

I need help on this. I've no idea about this. Please help me...​

Mathematics
1 answer:
Mashcka [7]2 years ago
4 0

Answer:

Answers are below.

Step-by-step explanation:

Hope this helps:)

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ASAP HELP<br> This is due today so answer correct and I have attempt to do your best
Kamila [148]

Answer:

3)  x-axis: 1 unit

   y-axis: 10 units    

4) quadrant II

coordinates:  (-2, 4)

7) Quadrants I and IV; time is always positive , but temperature can be positive and negative

8) W = (-0.75, -1)

Step-by-step explanation:

3)  x-axis: 1 unit

   y-axis: 10 units    

4) quadrant II

coordinates:  (-2, 4)

7) Quadrants I and IV; time is always positive , but temperature can be positive and negative

8) W = (-0.75, -1)

5 0
2 years ago
How do I solve this and what is the answer to this?! Number 14.
IrinaVladis [17]

Answer:

You'll have to give more information about the question or about what you need solved.

Step-by-step explanation:

6 0
2 years ago
A recipe uses 1 ¼ cups of milk to make 10 servings. If the same amount of milk is used for each serving, how many servings can b
suter [353]

Answer:

128 is your answer.

Step-by-step explanation:

1 gallon of milk will make 128 servings.

100% Correct hope this helps ツ

8 0
3 years ago
Read 2 more answers
1 cup = 8 fluid ounces Does that mean it takes 24 fluid ounces of water to fill any 3 plastic cups?
Pavel [41]
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3 0
3 years ago
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Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.3. (Round your ans
Maurinko [17]

Answer:

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 50

Standard Deviation, σ = 1.3

Sample size, n = 12

We are given that the distribution of hardness of pins is a bell shaped distribution that is a normal distribution.

Formula:

z_{score} = \displaystyle\frac{x-\mu}{\sigma}

Standard error due to sampling =

=\dfrac{\sigma}{\sqrt{n}} = \dfrac{1.3}{\sqrt{12}} = 0.3753

P(sample mean hardness for a random sample of 12 pins is at least 51)

P( x \geq 51) = P( z \geq \displaystyle\frac{51 - 50}{0.3753}) = P(z \geq 2.6645)

= 1 - P(z < 2.6645)

Calculation the value from standard normal z table, we have,  

P(x \geq 51) = 1 - 0.9961= 0.0039

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

3 0
3 years ago
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