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Fed [463]
3 years ago
9

Find the equations of any horizontal tangents to the curve y = x^3 - 3x ^2 - 9x + 2

Mathematics
1 answer:
user100 [1]3 years ago
6 0

Answer:big boy is the awnser

Step-by-step explanation:

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140 fluid ounces increased by 45%
Stels [109]
Hello!

"Increase" means to add. We must find out what 45% of 140 fluid ounces is, and to do that we must first convert the percentage to a decimal and then multiply it by the amount of fluid ounces.

I know, that's probably a lot to take in! :D

45% ÷ 100 = 0.45 as a decimal

0.45 × 140 = 63

Add this to the amount of fluid ounces:

140 + 63 = 203

Final Answer:

203 fluid ounces.
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Your answer is <span>132^2 

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16r^2+ 2r -4r 16r^2 - 2r 2r ( 8r -1)
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4 7/10 + 6/8 Fractions please help cant solve. used two methods but answer isnt the same as the answer page from the book
erastova [34]

Answer:

5 9/20

Step-by-step explanation:

4 7/10 + 6/8

Simplify the fractions by dividing the second top and bottom  by 2

4 7/10 + 3/4

Getting a common denominator of 20

4 7/10 *2/2  + 3/4 * 5/5

4 14/20  + 15/20

4 29/20

4 + 20/20 + 9/20

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You throw two four-sided dice. Let the random variable X represent the maximum value of the two dice. Compute E(X). Round your a
Troyanec [42]

Answer:

E(X)=3.125

Step-by-step explanation:

We are given that two four sided dice.

Then , the sample space

{(1,1),(1,2),(1,3),(1,4),(2,1),(2,2),(2,3),(2,4),(3,1),(3,2),(3,3),(3,4),(4,1),(4,2),(4,3),(4,4)}

Total number of outcomes=16

Let the random variable X represent the maximum value of the two dice

Outcomes                            X                                 P(X)

(1,1)                                          1                                 1/16

(1,2),(2,1),(2,2)                                   2                        3/16

(1,3),(2,3),(3,1),(3,2),(3,3)                    3                           5/16  

(1,4),(3,4) ,(2,4),(4,1),(4,2),(4,3),(4,4)    4                            7/16

Using the probability formula

P(E)=\frac{Favorable\;outcomes}{Total\;number\;of\;outcomes}

Now,

E(X)=\sum_{i=1}^{n}x_iP(x_i)

E(x)=1(1/16)+2(3/16)+3(5/16)+4(7/16)

E(x)=\frac{1+6+15+28}{16}

E(x)=\frac{50}{16}=3.125

7 0
3 years ago
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