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ser-zykov [4K]
3 years ago
10

Multiply the polynomials (x+3)(2x−4). What is the product in the form ax^2+bx+c?

Mathematics
2 answers:
Ghella [55]3 years ago
8 0

Answer:

2×^2+2x-12

Step-by-step explanation:

Use FOIL (First outer inner last)

First

x × 2x = 2x^2

outer

-4 × x = -4x

inner

2x × 3= 6x

last

3 × -4= -12

combine like terms

6x-4x or -4x×6x= 2x

therefore your answer is

2x^2 + 2x - 12

Romashka [77]3 years ago
6 0

Answer:

Step-by-step explanation:

In the same way as you could factor trinomials on the form of

x2+bx+c

You can factor polynomials on the form of

ax2+bx+c

If a is positive then you just proceed in the same way as you did previously except now

ax2+bx+c=(x+m)(ax+n)

wherec=mn,ac=pqandb=p+q=am+n

Example

3x2−2x−8

We can see that c (-8) is negative which means that m and n does not have the same sign. We now want to find m and n and we know that the product of m and n is -8 and the sum of m and n multiplied by a (3) is b (-2) which means that we're looking for two factors of -24 whose sum is -2 and we also know that one of them is positive and of them is negative.

Factorsof−24−1,241,−24−2,122,−12−3,83,−8−4,64,−6Sumoffactors23−2310−105−52−2

This means that:

3x2−2x−8=

=3x2+(4−6)x−8=

=3x2+4x−6x−8

We can then group those terms that have a common monomial factor. The first two terms have x together and the second two -2 and then factor the two groups.

=(3x2+4x)+(−6x−8)=

=x(3x+4)−2(3x+4)

Notice that both remaining parenthesis are the same. This means that we can rewrite this using the distributive propertyit as:

=(x−2)(3x+4)=3x2−2x−8

This method is called factor by grouping.

A polynomial is said to be factored completely if the polynomial is written as a product of unfactorable polynomials with integer coefficients.

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The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

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The  99% confidence level is   13.3930  < \mu  < 13.3994

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From the question we are told that

  The sample size is  n =  10

   The  population mean is  \mu =  13.4 000 \  angstroms

   The level of significance is  \alpha =  0.05

   The  sample data is  

13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, and 13.4002

Generally the sample mean is mathematically represented as

        \= x =  \frac{13.3987+ 13.3957\cdots +13.4002 }{10}

=>     \= x = 13.3962

Generally the sample standard deviation  is mathematically represented as

    \sigma = \sqrt{\frac{\sum (x_i - \= x)^2}{n} }

=> \sigma = \sqrt{\frac{ (13.3987 - 13.3962)^2 +  (13.3987 - 13.3962)^2 + \cdots + (13.3987 -13.4002)^2  }{10} }

=>  \sigma =0.0039

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

Generally the test statistics is mathematically represented as

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

=>    z  =  \frac{13.3962 -  13.4000}{\frac{0.0039}{\sqrt{10} } }

=>   z =  3.08

Generally the p-value is mathematically represented as

       p-value  = 2P( z   >  3.08)

From the z-table  P(z >  3.08)= 0.001035

So

       p-value  = 2* 0.001035

      p-value  = 0.00207

So from the obtained value we see that

     p-value  < \alpha

Hence the null hypothesis is rejected

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Given that the confidence level is  99%  then the level of significance is

    \alpha =  (100 -99)\%

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    Z_{\frac{\alpha }{2} } =  2.58

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=>   E = 2.58  *  \frac{0.0039}{\sqrt{10} }

=>    E = 0.00318

Generally the 99% confidence interval is mathematically represented as

     13.3962   - 0.00318  < \mu  < 13.3962   +  0.00318

=>   13.3930  < \mu  < 13.3994

 

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