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Alja [10]
3 years ago
15

How to factorise n(2n+1)(n+1)+n(2n+1)? I know the answer is n(2n+1)(n+2) but can someone explain every step fully, thanks:)​

Mathematics
2 answers:
Natasha_Volkova [10]3 years ago
5 0

we have n(2n+1)(n+1) +n(2n+1) = n(2n+1)(n+1)+n(2n+1).1

= n(2n+1)(n+1 +1) = n(2n+1)(n+2)

P/s: sorry i don't know how to explain but i can give you some example so you can understand the question easily

3x(x+1) + (x+1).2 = (x+1)(3x+2)

(5x-4).1 - (5x-4).8 = (5x-4)(1-8) = 7(5x-4)

ok done. Thank to me :>

Virty [35]3 years ago
3 0
Here is the answer,hope this help

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22.5

Step-by-step explanation:

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Jason is traveling by car from his home to his office. He has gone 3.5 miles so far. From this point on, he can cover 100 miles
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y = 50x + 3.5

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Given:

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FInd;

Equation of given scenario

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4 years ago
Genetic Defects Data indicate that a particular genetic defect occurs in of every children. The records of a medical clinic show
Dovator [93]

Complete Question

The complete question is shown on the first uploaded image

Answer:

The probability that there exist 60 or more defected children is P(x \ge 60)=0.0901

Looking at the value for this probability we see that it is not so small to the point that the observation of this kind would be a rare occurrence

Step-by-step explanation:

From the question we are told that

        in every 1000 children a particular genetic defect occurs to 1

        The number of sample selected is n= 50,000

The probability of observing the defect is mathematically evaluated as

              p = \frac{1}{1000}

                 = 0.001

The probability of not observing the defect is mathematically evaluated as

            q = 1-p

               = 1-0.001

               = 0.999

The mean of this probability is mathematically represented as

                 \mu = np

Substituting values

                \mu = 50000*0.001

                    = 50

The standard deviation of this probability is mathematically represented as

   \sigma = \sqrt{npq}

Substituting values

      = \sqrt{50000 * 0.001 * 0.999}

     = \sqrt{49.95}

     = 7.07

 the probability of detecting  x  \ge60 defects can be represented in as  normal distribution like

       P(x \ge 60)

in standardizing the normal distribution the normal area used to approximate P(x \ge 60) is the right of 59.5 instead of 60 because  x= 60 is part of the observation

The z -score is obtained mathematically as

                z = \frac{x-\mu }{\sigma }

                   = \frac{59.5 - 50 }{7.07}

                  =1.34

The area to the left of z = 1.35 on the standardized normal distribution curve is 0.9099 obtained from the z-table shown z value to the left of the standardized normal curve

Note: We are looking for the area to the right i.e 60 or more

  The total area under the curve is 1

So

    P(x \ge 60) \approx P(z > 1.34)

                     = 1-P(z \le 1.34)

                    =1-0.9099

                  =0.0901

             

   

3 0
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