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Yakvenalex [24]
3 years ago
13

I am having trouble understanding the concept of completing the square in math. Could someone please assist me on how to do so?

Mathematics
2 answers:
enyata [817]3 years ago
8 0
"Completing the square" is the process used to derive the quadratic  formula for the general quadratic ax^2+bx+c=0.  Suppose you did not know the value of a,b, or c of the quadratic...

ax^2+bx+c=0  You need a leading coefficient of one for the process to work, so you divide the whole equation by a

x^2+bx/a+c/a=0  now you move the constant to the other side of the equation

x^2+bx/a=-c/a  now you halve the linear coefficient, square that, then add that value to both sides, ie, (b/(2a))^2=b^2/(4a^2)...

x^2+bx/a+b^2/(4a^2)=b^2/(4a^2)-c/a  now the left side is a perfect square...

(x+b/(2a))^2=(b^2-4ac)/(4a^2)  now take the square root of both sides

x+b/(2a)=±√(b^2-4ac)/(2a)  now subtract b/(2a) from both sides

x=(-b±√(b^2-4ac))/(2a)

It is actually much simpler keeping track of everything when using known values for a,b, and c, but the above explains the actual process used to create the quadratic formula, which the above solution is. :)
zalisa [80]3 years ago
6 0
If you have a quadratic equation in the form ax^2 + bx + c = 0 you can complete the square with the following instructions.

1. If the coefficient of ax^2 is not equal to 1, then you will need to divide the whole equation by a. Or simply divide the whole equation by a.

ax^2 + bx + c = 0 \\ \\ \frac{ax^2}{a} + \frac{bx}{a} + \frac{c}{a} = 0 \\ \\ x^2 + \frac{bx}{a} + \frac{c}{a} = 0

2. Then get all the x terms on one side of the equation. We do this by subtracting \frac{c}{a} from both sides of the equation.

x^2 + \frac{bx}{a} + \frac{c}{a} - \frac{c}{a} = 0 - \frac{c}{a} \\ \\ x^2 + \frac{bx}{a} = - \frac{c}{a}

3. Finally, take the half of the coefficient of \frac{bx}{a}, square it and add it to both sides of the equation.

\frac{bx}{a} = \frac{b}{a}x \\ \\ \frac{b}{2a} \\ \\ (\frac{b}{2a})^2 = \frac{b^2}{4a^2} \\ \\ x^2 + \frac{bx}{a} + \frac{b^2}{4a^2} = \frac{c}{a} + \frac{b^2}{4a^2}

I hope that helped!
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−0.63p − 5.04 + 3.57 = 7.05 + 2.21p?
grandymaker [24]

Answer:

p = -3

Step-by-step explanation:

−0.63p − 5.04 + 3.57 = 7.05 + 2.21p

−0.63p − 1.47 = 7.05 + 2.21p    (add 0.63p to both sides)

− 1.47 = 7.05 + 2.21p + 0.63p

− 1.47 = 7.05 + 2.84p  (subtract 7.05 from both sides)

− 1.47 - 7.05 =  2.84p

-8.52 = 2.84p  (rearrange)

2.84p = -8.52   (divide both sides by 2.84)

p = -8.52 / 2.84

p = -3

6 0
3 years ago
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What is p-6a+3-4+9p+14
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10p-6a+13

Hope this helps :)

8 0
3 years ago
A research firm tests the miles-per-gallon characteristics of three brands of gasoline. Because of different gasoline performanc
Anni [7]

Answer:

A.) At α = 0.05, is there a significant difference in the mean miles-per-gallon characteristics of the three brands of gasoline.

B.)<u><em>The advantage of attempting to remove the block effect is</em></u>

The completely randomized designs does not prove that H0 is incorrect only that it cannot be rejected.

Step-by-step explanation:

<em><u /></em>

<em><u>Using Two-way ANOVA method</u></em>

Given problem

<em><u>Observation              I          II       III          Row total (xr)</u></em>

A                              18 21 20            59

B                            24 26 27             77

C                            30 29 34             93

D                            22 25 24            71

<u>E                            20 23 24           63                      </u>

Col total (xc)             114 124 129        367

∑x²=9233→(A)

∑x²c/r

=1/5(114²+124²+129²)

=1/5(12996+15376+16641)

=1/5(45013)

=9002.6→(B)

∑x²r/c

=1/3(59²+77²+93²+71²+67²)

=1/3(3481+5929+8649+5041+4489)

=1/3(27589)

=9196.3333→(C)

(∑x)²/n

=(367)²/15

=134689/15

=8979.2667→(D)

Sum of squares total

SST=∑x²-(∑x)²/n

=(A)-(D)

=9233-8979.2667

=253.7333

Sum of squares between rows

SSR=∑x²r/c-(∑x)²/n

=(C)-(D)

=9196.3333-8979.2667

=217.0667

Sum of squares between columns

SSC=∑x²c/r-(∑x)²/n

=(B)-(D)

=9002.6-8979.2667

=23.3333

Sum of squares Error (residual)

SSE=SST-SSR-SSC

=253.7333-217.0667-23.3333

=13.3333

<u>ANOVA table</u>

Source                 Sums         Degrees      Mean Squares

of Variation       of Squares   of freedom

<u>                               SS                 DF              MS       F p-value</u>

B/ w     SSR=217.0667              4 MSR=54.2667    32.56 0.0001

rows

B/w     SSC=23.3333         c-1=2 MSC=11.6667        7 0.01

columns

<u>Error (residual)SSE=13.3333 (r-1)(c-1)=8 MSE=1.6667                  </u>

<u>Total SST=253.7333 rc-1=14                                                        </u>

Conclusion:

<u> 1. F for between Rows</u>

The critical region for F(4,8) at 0.05 level of significance=3.8379

The calculated F for Rows=32.56>3.8379

Therefore H0 is rejected

<u>2. F for between Columns</u>

The critical region for F(2,8) at 0.05 level of significance=4.459

We see that the calculated F for Colums=7>4.459

therefore H0 is rejected,and concluded that there is significant differentiating between columns

<u><em>Part B:</em></u>

To analyze the data for completely  randomized designs click on anova two factor without replication  in the data analysis dialog box of the excel spreadsheet.

The following table is obtained

Source DF             Sum                  Mean           F Statistic

<u>                 (df1,df2)    of Square (SS) Square (MS)                    P-value</u>

Factor A       1 1496.5444 1496.5444 769.6514          0.001297

Rows

Factor B -     2 19.4444           9.7222               5                  0.1667

Columns

Interaction

AB               2    3.8889   1.9444        0.1013         0.9045

<u> Error     12   230.4            19.2                                           </u>

<u>Total 17 1750.2778 102.9575                                                         </u>

<u />

<u>Factor - A- Rows</u>

Since p-value < α, H0 is rejected.

<u>Factor - B- Columns</u>

Since p-value > α, H0 can not be rejected.

The averages of all groups assume to be equal.

<u>Interaction AB</u>

Since p-value > α, H0 can not be rejected.

<u><em>The advantage of attempting to remove the block effect is</em></u>

The completely randomized designs does not prove that H0 is incorrect only that it cannot be rejected.

3 0
3 years ago
Solve this hard math tyy x3+b7*7=2
gulaghasi [49]

Answer:

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Step-by-step explanation:

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Answer:

-875/79

Step-by-step explanation:

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