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Fittoniya [83]
3 years ago
7

If an equation has two roots -4 and 7, what could be the quadratic equation?

Mathematics
1 answer:
aleksklad [387]3 years ago
8 0

Answer:

f(x) = x^2 - 3x - 28

Step-by-step explanation:

The root -4 corresponds to the factor (x + 4); the root 7 corresponds to (x - 7).  The equation is thus f(x) = (x + 4)(x - 7) = x^2 - 3x - 28, or

f(x) = x^2 - 3x - 28

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What’s 3x squared plus 9x-2
KengaRu [80]

Answer:

The expression is not factorable with rational numbers.

3x2+9x−2

8 0
3 years ago
The histogram to the right represents the weights​ (in pounds) of members of a certain​ high-school programming team. What is th
AVprozaik [17]

Answer:

Class width=20

Lower class limit of first class=100

Upper class limit of first class=120

Step-by-step explanation:

The class width can be calculated by taking the difference of two consecutive upper class limits or lower class limits.

Now we take any two consecutive upper class limits or lower class limits from classes 100-120,120-140,140-160,160-180,180-200,200-220,220-240.

We take upper class limits of first and second class i.e. 100 and 120.

Class width=120-100=20

Class width=20

The approximate lower and upper class limits of the first class from classes  100-120,120-140,140-160,160-180,180-200,200-220,220-240 are 100 and 120.

Class limits for first class is 100-120.

Lower class limit of first class=100

Upper class limit of first class=120

4 0
3 years ago
42how many times gets you 204
IrinaVladis [17]

Answer:

8568

Step-by-step explanation:

multiply 42 and 204 and you get 8568

7 0
3 years ago
Read 2 more answers
A meat inspector has randomly selected 30 packs of 95% lean beef. The sample resulted in a mean of 96.2% with a sample standard
kirza4 [7]

Answer:

a

 The upper bound of the 99% prediction level is 98.2  

b

 The  95% confidence interval is 9.7383 <  \mu < 10.2617

Step-by-step explanation:

Considering first question

From the question we are told that

   The sample size is  n  =  30  

   The sample mean is  \= x  =  96.2\%

   The standard deviation is s  = 0.8\%

Generally the degree of freedom is mathematically represented as

        df  =  n - 1

=>      df  =  30 - 1

=>      df  =  29

From the question we are told the confidence level is  99% , hence the level of significance is    

      \alpha = (100 - 99 ) \%

=>   \alpha = 0.01

Generally from the t distribution table the critical value  of   at a degree of freedom of is  

   t_{\alpha , 29} = 2.462

Generally the  99%  prediction level is mathematically represented as

      \= x \pm [(t_{\alpha  , df }) * s * (\sqrt{1 + \frac{1}{ n} } )}]

Generally the upper bound of the 99%  prediction level is mathematically represented as

      \= x + [(t_{\alpha  , df }) * s * (\sqrt{1 + \frac{1}{ n} } )}]  

=>    96.2 + (2.462 ) * 0.8 * (\sqrt{1 + \frac{1}{ 30} } )}]  

=>    98.2  

Considering second question

 Generally the sample is mathematically represented as

             \= x  = \frac{\sum x_i}{n}

=>           \= x  = \frac{ 9.8 + 10.2 + \cdots +9.6 }{7}  

=>           \= x  =  10    

Generally the standard deviation  is mathematically represented as

           \sigma =  \sqrt{ \frac{ \sum ( x_ i - \= x)}{n-1} }

=>        \sigma =  \sqrt{ \frac{ ( 9.8  -10)^2 +  ( 10.2  -10)^2 + \cdots + ( 9.6  -10)^2  }{7-1} }

=>        \sigma = 0.283

Generally the degree of freedom is mathematically represented as

      df =  n- 1

=>    df =  7- 1

=>    df =  6

From the question we are told the confidence level is  95% , hence the level of significance is    

      \alpha = (100 - 95 ) \%

=>   \alpha = 0.05

Generally from the t distribution table the critical value  of   at a degree of freedom of  is  

   t_{\frac{\alpha }{2} , 6 } =  2.447

Generally the margin of error is mathematically represented as  

      E = t_{\frac{\alpha }{2} , 6 } *  \frac{\sigma }{\sqrt{n} }

=>    E =2.447*    \frac{0.283 }{\sqrt{7} }

=>    E =0.2617

Generally 95% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>   10 -0.2617 <  \mu < 10 + 0.2617

=>   9.7383 <  \mu < 10.2617

7 0
3 years ago
Find the value of x log2x-log(x-3)=1
rusak2 [61]

Answer:

15/4

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
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