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MA_775_DIABLO [31]
2 years ago
15

According to the Rational Root Theorem, the following are potential roots of f(x) = 6x4 + 5x3 – 33x2 – 12x + 20. -5/2,-2, 1, 10/

3 Which is an actual root of f(x)?
Mathematics
2 answers:
stiks02 [169]2 years ago
8 0
-5/2 is the answer. I just took the test and got it right.
Arisa [49]2 years ago
4 0

Answer:

The actual root of f(x) is -5/2 (first option)

Step-by-step explanation:

A root of f(x) is a value of the variable "x" that makes f(x)=0

1) With x=-5/2

f(-5/2)=6(-5/2)^4+5(-5/2)^3-33(-5/2)^2-12(-5/2)+20

f(-5/2)=6(5^4/2^4)+5(-5^3/2^3)-33(5^2/2^2)+6(5)+20

f(-5/2)=6(625/16)-5(125/8)-33(25/4)+30+20

f(-5/2)=3(625/8)-625/8-825/4+50

f(-5/2)=1,875/8-625/8-825/4+50

f(-5/2)=[1,875-625-2(825)+8(50)]/8

f(-5/2)=(1,875-625-1,650+400)/8

f(-5/2)=0/8

f(-5/2)=0 then x=-5/2 is a root of f(x)


2) With x=-2

f(-2)=6(-2)^4+5(-2)^3-33(-2)^2-12(-2)+20

f(-2)=6(2^4)+5(-2^3)-33(2^2)+24+20

f(-2)=6(16)-5(8)-33(4)+44

f(-2)=96-40-132+44

f(-2)=-32 different of 0, then x=-2 is not a root of f(x)


3) With x=1

f(1)=6(1)^4+5(1)^3-33(1)^2-12(1)+20

f(1)=6(1)+5(1)-33(1)-12+20

f(1)=6+5-33+8

f(1)=-14 different of 0, then x=1 is not a root of f(x)


4) With x=10/3

f(10/3)=6(10/3)^4+5(10/3)^3-33(10/3)^2-12(10/3)+20

f(10/3)=6(10^4/3^4)+5(10^3/3^3)-33(10^2/3^2)-4(10)+20

f(10/3)=6(10,000/81)+5(1,000/27)-33(100/9)-40+20

f(10/3)=2(10,000/27)+5,000/27-11(100/3)-20

f(10/3)=20,000/27+5,000/27-1,100/3-20

f(10/3)=[20,000+5,000-9(1,100)-27(20)]/27

f(10/3)=(20,000+5,000-9,900-540)/27

f(10/3)=14,560/27 different of 0, then x=10/3 is not a root of f(x)

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2 years ago
The factory quality control department discovers that the conditional probability of making a manufacturing mistake in its preci
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Answer:

The probability that a defective ball bearing was manufactured on a Friday = 0.375

Step-by-step explanation:

Let the event of making a mistake = M

The event of making a precision ball bearing production on Monday = Mo

The event of making a precision ball bearing production on Tuesday = T

The event of making a precision ball bearing production on Wednesday = W

The event of making a precision ball bearing production on Thursday = Th

The event of making a precision ball bearing production on Friday = F

the conditional probability of making a manufacturing mistake in its precision ball bearing production is 4% on Tuesday, P(M|T) = 4% = 0.04

4% on Wednesday, P(M|W) = 0.04

4% on Thursday, P(M|Th) = 0.04

8% on Monday, P(M|Mo) = 0.08

and 12% on Friday = P(M|F) = 0.12

The Company manufactures an equal amount of ball bearings (20 %) on each weekday, Hence, the probability that a random precision ball bearing was made on a particular day of the week, is mostly the same for all the five working days.

P(Mo) = 0.20

P(T) = 0.20

P(W) = 0.20

P(Th) = 0.20

P(F) 0.20

The probability that a defective ball bearing was manufactured on a Friday = P(F|M)

P(F|M) = P(F n M) ÷ P(M)

P(F n M) = P(M n F)

P(M) = P(Mo n M) + P(T n M) + P(W n M) + P(Th n M) + P(F n M)

We can obtain each of these probabilities by using the expression for conditional probability.

P(Mo n M) = P(M|Mo) × P(Mo) = 0.08 × 0.20 = 0.016

P(T n M) = P(M|T) × P(T) = 0.04 × 0.20 = 0.008

P(W n M) = P(M|W) × P(W) = 0.04 × 0.20 = 0.008

P(Th n M) = P(M|Th) × P(Th) = 0.04 × 0.20 = 0.008

P(F n M) = P(M|F) × P(F) = 0.12 × 0.20 = 0.024

P(M) = P(Mo n M) + P(T n M) + P(W n M) + P(Th n M) + P(F n M)

P(M) = 0.016 + 0.008 + 0.008 + 0 008 + 0.024 = 0.064

P(F|M) = P(F n M) ÷ P(M)

P(F n M) = P(M n F) = 0.024

P(M) = 0.064

P(F|M) = P(F n M) ÷ P(M) = (0.024/0.064) = 0.375

Hope this Helps!

4 0
2 years ago
If 2x+9<32 then x could be
Y_Kistochka [10]

Answer:

x < 11.5

Step-by-step explanation:

2x + 9 < 32

(2x + 9) - 9  < 32 - 9

2x < 23

2x/2 < 23/2

x < 11.5

3 0
2 years ago
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Chandra created a budget matrix based on her regular and expected expenses for the year. Expense Jan. Feb. Mar. Apr. May June Ju
Ivan

Answer:

Chandra's Average Monthly Expenses are;

1) For Both Jan and Feb are $269

2) For the remaining 10 months each are $244

Step-by-step explanation:

From Chandra's matrix all monthly expenses are all same that is,

Cell phone $71, Rent $1,025, Gym $75, Internet $25, Auto insurance $425, Gas $ 120, Food $145. which are all the expenses carried out every month for 12 months.

That means Chandra carries out a total of 7 expenses for the month of January and February while she carried a total of 6 expenses for the remaining 10 month which was noted from the matrix that Auto insurance was carried out only in the month of January and February.

Therefore, you start by adding up each month total expenses, which are ;

January = $71 + $1,025 + $75 + $25 + $425 + $120 + $145 = $1886

February = $71 + $1,025 + $75 + $25 + $425 + $120 + $145 = $1886

March = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

April = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

May = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

June = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

July= $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

August = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

September = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

October = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

November = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

December = $71 + $1,025 + $75 + $25  + $120 + $145 = $1461

Therefore Chandra's Average Monthly Expenses are:

1) January & February  = \frac{71 + 1,025 + 75 + 25 + 425 + 120 + 145}{7} = \frac{1886}{7} = 269.4286 to the nearest cent

≅ $269

2) For the remaining 10 month are = \frac{71 + 1,025 + 75 + 25  + 120 + 145}{6} = \frac{1461}{6}= 243.5 to the nearest cent

≅ $244

8 0
2 years ago
Read 2 more answers
Consider a disease whose presence can be identified by carrying out a blood test. Let p denote the probability that a randomly s
kifflom [539]

Answer:

The expected number of tests, E(X) = 6.00

Step-by-step explanation:

Let us denote the number of tests required by X.

In the case of 5 individuals, the possible value of x are 1, if no one has the disease, and 6, if at least one person has the disease.

To find the probability that no one has the disease, we will consider the fact that the selection is independent. Thus, only one test is necessary.

Case 1: P(X=1) = [P (not infected)]⁵

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Case 2: P(X=6) = 1- P(X=1)

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               P(X=6) = (1 - 3.125*10⁻⁷) = 0.999999

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We can then use the previously determined values to compute the expected number of tests.

E(X) = ∑x.P(X=x)

      = (1).(3.125*10⁻⁷) + 6.(1.0)

 E(X)  =  E(X) = 6.00

Therefore, the expected number of tests, E(X) = 6.00

3 0
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