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katrin2010 [14]
4 years ago
6

PLEASE HELP NEED ASAP WILL MARK THE BRAINLIEST

Mathematics
1 answer:
harkovskaia [24]4 years ago
7 0

Answer:

idk

Step-by-step explanation:

idk

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Which statement shows the associative property of addition?
abruzzese [7]

Answer:

\displaystyle (18 + 6) + y = 18 + (6 + y)

Step-by-step explanation:

This shows the correct way to use the <em>Associative</em><em> </em><em>Property</em><em> </em>because there are GROUPING SYMBOLS wrapped around UNIQUE parts of each expression, and STILL gets the exact same result.

I am joyous to assist you anytime.

8 0
3 years ago
A football team received a gain of 12 yards on their first play of the game. Write an integer to
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The photo has the answer!
6 0
3 years ago
Is it c.? i am unsure
PtichkaEL [24]

Answer:

11+6i

Step-by-step explanation:

We can start by combining like terms, the ones with i, and the ones with one as a factor. Since 3+8 is 11 and 4i+2i is 6i, our answer is C. 11+6i

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3 years ago
Read 2 more answers
What’s the correct answer for this?
Bumek [7]

Answer:

B.

Step-by-step explanation:

Reflection in the x-axis. when you reflect in the x axis, the x -axis remains the same but the y-axis becomes opposite. (It's sign is changed)

8 0
3 years ago
In an experiment to measure the lifetimes of parts manufactured from a certain aluminum alloy, 73 parts were loaded cyclically u
kari74 [83]

Answer:

0.0094.

Step-by-step explanation:

For the given experiment, let X be the lifetimes of parts manufactured from a certain aluminum alloy.

sample size =73

Sample mean = 784

Sample standard deviation = 120

Let µ represent the mean number of kilocycles to failure for parts of this type.

Null hypothesis, H0 : µ ≤ 750

Alternative hypothesis, H1 : µ > 750.

z=\dfrac{\overline{X}-\mu}{\frac{s}{\sqrt{n}}}

where,

\overline{X} is sample mean.

\mu is population mean.

s is sample standard deviation.

n is the sample size.

z=\dfrac{783-750}{\frac{120}{\sqrt{73}}}

z=2.35

It is a right tailed test because alternative hypothesis is µ > 750. So, P-value is the probability of observing a sample mean greater that 783 or the probability of P(z>2.35).

P=P(z>2.35)

P=1-P(z

P=1-0.9906

P=0.0094

Therefore the P-value is 0.0094.

5 0
3 years ago
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