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Dmitry_Shevchenko [17]
3 years ago
11

You want to put 520 quarters in coin wrappers you need one wrapper for every 10$ in quarters write an equation you can use to fi

nd how many wrappers w you need.
Mathematics
1 answer:
s344n2d4d5 [400]3 years ago
3 0
520 divided by 40. That should be correct
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Can somebody please help me with this question
skad [1K]

Answer:

Step-by-step explanation:

Provided PNWL is a parallelogram

PW = 2PM = 2(9) = 18

m∠PNW = m∠WLP = 144°

PL = NW = 12

m∠NPL = 180 - 144 = 36°

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3 years ago
What is the distance between the points (-6, 7) and (-1, 1) ? Round to the nearest whole number
pogonyaev

Answer:

7.8 rounded to the nearest whole number would be 8.

Step-by-step explanation:

-6 would be x1

7 would be y1

-1 would be x2

1 would be y2

Take these numbers and plug them into the distance formula:

\sqrt{(x2-x1)^{2}  + (y2-y1)^2}

\sqrt{(-1 - -6)^2 + (1-7)^2} \\\sqrt{(5)^2 + (6)^2\\\} \\\sqrt{25 + 36} \\\sqrt{61} = 7.81

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g In a one-tail hypothesis test where you reject H0 only in the lower tail, what is the p-value if Z STAT
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Answer:

The P-value is 0.0166.

Step-by-step explanation:

<u>The complete question is:</u> In a​ one-tail hypothesis test where you reject H0 only in the lower ​tail, what is the p-value  if ZSTAT = -2.13.

We are given that the z-statistics value is -2.13 and we have to find the p-value.

Now, the p-value of the test statistics is given by the following condition;

                    P-value = P(Z < -2.13) = 1 - P(Z \leq 2.13)

                                  = 1 - 0.9834 = <u>0.0166</u>

Assuming that the level of significance is 0.10 or 10%.

The decision rule for rejecting the null hypothesis based on p-value is given by;

  • If the P-value of the test statistics is less than the level of significance, then we have sufficient evidence to reject the null hypothesis.
  • If the P-value of the test statistics is more than the level of significance, then we have insufficient evidence to reject the null hypothesis.

Here, the P-value is more than the level of significance as 0.0166 > 0.10, so we have insufficient evidence to reject the null hypothesis, so we fail to reject the null hypothesis.

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