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Tema [17]
2 years ago
14

A negative number raised to an odd power is_____ negative. always never sometimes

Mathematics
2 answers:
Ulleksa [173]2 years ago
5 0

the answer is always. negative numbers raised to odd powers remain negative. negative numbers raised to even powers become positive.

victus00 [196]2 years ago
3 0

negative number taken to an odd power gives a negative result (because, after cancelling, there will be one minus sign left over).

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Let ​ x^2−12x=61 .​ What values make an equivalent number sentence after completing the square? Enter your answers in the boxes.
tatyana61 [14]
Complete the square:

x^2 - 12x + (-6)^2 - (-6)^2 = 61, or
      (x-6)^2            -36       = 61, or

x-6 = plus or minus sqrt(97), or

x = 6 plus or minus sqrt(97)
6 0
4 years ago
Read 2 more answers
Якщо 1 &lt;a&lt;2 i 2&lt;b&lt;4,то:<br>​
jolli1 [7]

Answer:

A

Step-by-step explanation:

a/b;

2/1=2;

5/4=1.25

that's why we can write it this way: 1.25 < a/b < 2

means the answer is A

3 0
1 year ago
Choose the quadratic equation that has a leading coefficient of 8 and solutions -10 and 7/8
Maru [420]

Answer:

f(x)=8x^2+73x-70

Step-by-step explanation:

We are given

zeros as -10 and 7/8

now, we can set up function as

f(x)=a(x-(-10))(x-\frac{7}{8})

now, we are given that

leading coefficient is 8

so, a=8

now, we can plug it

f(x)=8(x-(-10))(x-\frac{7}{8})

now, we can simplify it

f(x)=8\left(x^2+\frac{73x}{8}-\frac{35}{4}\right)

so, we get

f(x)=8x^2+73x-70

6 0
3 years ago
Complete parts (a) and (b) below.
jeka94

Answer:

a) The mean of the probability distribution = 0.6

b) The variance of the probability distribution = 0.3

c) The standard deviation of the probability distribution = 0.5

Step-by-step explanation:

a) Data and Calculations:

number of dogs per household in a small town

Dogs   Probability  Expected  Mean Diff    Mean Diff.

                               Value                            Squared

0          0.650           0               -0.569         0.32376

1           0.216            0.216        -0.353          0.12461

2         0.087            0.174         -0.395          0.15603

3          0.026            0.078       -0.491            0.24108

4          0.014             0.056       -0.513           0.26317

5          0.009          0.045       -0.524           0.27458

The mean =           0.569 (Sum of expected value)                          

Variance = mean of squared differences = 0.27665 (1.38323/5)

Standard deviation = square root of variance = 0.526 = 0.5

7 0
3 years ago
I need help with the problem below
wolverine [178]
A and C is your answer
3 0
3 years ago
Read 2 more answers
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