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Liula [17]
2 years ago
9

Nicolas sold 86 newspapers on Monday 79 on Tuesday and 68 on Wednesday and 83 on Friday how many newspapers did Nicholas sell on

Thursday if he sold a total of 391 in five days?
Define a variable, write an equation, then solve.
Mathematics
2 answers:
natima [27]2 years ago
8 0

Answer:

75

Step-by-step explanation:

86+79+68+83=316

391-316=75

Delicious77 [7]2 years ago
6 0

Answer:

75 newspapers

Step-by-step explanation:

391 is equal to the combination of all the newspapers Nicholas sold over those 5 days. This can be written as an equation:

391 = 86 + 79 + 68 + 83 + x

x represents the number of newspapers Nicholas sold on Thursday.

Now let's solve for x:

First, combine like terms:

391 = 316 + x

now subtract 316 from both sides to isolate x:

391 - 316 = 316 - 316 + x

75 = x

Nicholas sold 75 newspapers on Thursday.

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The answer would be 36 jugs 
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Suppose p(a) = 0.40 and p(a 
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Between the probability of union and intersection, it's not clear what you're supposed to compute. (I would guess it's the probability of union.) But we do know that

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For part (c), if A and B are mutually exclusive, then P(A\cap B)=0, so P(A\cup B)=P(A)+P(B). If the given probability is P(A\cup B)=0.55, then you can find P(B)=0.15. But if this given probability is for the intersection, finding P(B) is impossible.


For part (d), if A and B are independent, then P(A\cap B)=P(A)\cdot P(B).
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3 years ago
Complete the following sentence using the correct term. <br> 14 is a ________ of 7 and 14.
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14 is a ________ of 7 and 14.

Step-by-step explanation:

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What is the surface area of this right rectangular prism with dimensions of 6 inches by 4 inches by 12 inches A. 324 B.256 C.288
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6 0
2 years ago
A laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighings. Scale readings in repeated we
weqwewe [10]

Answer:

99% confidence interval for the given specimen is [3.4125 , 3.4155].

Step-by-step explanation:

We are given that a laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighing. Scale readings in repeated weighing are Normally distributed with mean equal to the true weight of the specimen.

Three weighing of a specimen on this scale give 3.412, 3.416, and 3.414 g.

Firstly, the pivotal quantity for 99% confidence interval for the true mean specimen is given by;

        P.Q. = \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \bar X = sample mean weighing of specimen = \frac{3.412+3.416+3.414}{3} = 3.414 g

            \sigma = population standard deviation = 0.001 g

            n = sample of specimen = 3

            \mu = population mean

<em>Here for constructing 99% confidence interval we have used z statistics because we know about population standard deviation (sigma).</em>

So, 99% confidence interval for the population​ mean, \mu is ;

P(-2.5758 < N(0,1) < 2.5758) = 0.99  {As the critical value of z at 0.5% level

                                                            of significance are -2.5758 & 2.5758}

P(-2.5758 < \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } < 2.5758) = 0.99

P( -2.5758 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X - \mu} < 2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

P( \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

<u>99% confidence interval for</u> \mu = [ \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ]

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                                             = [3.4125 , 3.4155]

Therefore, 99% confidence interval for this specimen is [3.4125 , 3.4155].

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