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aleksandr82 [10.1K]
3 years ago
6

What is the missing constant term in the perfect square that starts with x2 + 10x ?

Mathematics
1 answer:
kirza4 [7]3 years ago
7 0

Answer:

Okay so I am assuming you mean the third part?

Step-by-step explanation:

Pretty simple. So you see that the varible x^2 does not have a number in front of it, so there is no extra dividing.

A formula for a perfect square is (x^2)+2xy+y^2

Take 10 and divide it by 2.

10/2=5

You have Y. Finding the third part is squaring Y.

5^2=25

Therefore, the third part of the perfect square is 25. If you want to find Y, look at the stuff above.

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3x2 − y3 − y3 − z if x = 3, y = −2, and z = −5.
tatyana61 [14]
Ok so from experience on this site
3x2=3x^2
people don't know how to put exponents
3x^2-y^3-y^3-z
simplify first

3x^2-2y^3-z

x=3
y=-2
z=-5
3(3^2)-2(-2)^3-(-5)
3(9)-2(-8)+5
27+16+5
48
8 0
3 years ago
What is the area of a circle that has a diameter of 16in
rjkz [21]

Answer:

A=πr2

A=π8^2

A=π* 8* 8

A= 64π

A= 64x3.14

A= 200.96 in^2

Step-by-step explanation:

8 0
2 years ago
Which of the following is NOT true for a hypothesis test for​ correlation? Choose the correct answer below. A. If ​|r|less than
pantera1 [17]

Answer:

Answer explained

Step-by-step explanation:

From the information, the true statements for a hypothesis test for correlation is,

If the​ P-value is less than or equal to the significance​ level, we should reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

If |r| less than or equals critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

If the​ P-value is greater than the significance​ level, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

<u>Explanation</u>

According to the decision rule of P-value approach, observe that if the​ P-value is less than or equal to the significance​ level, then there is evidence to reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

Similarly, if the​ P-value is greater than the significance​ level, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

According to the critical value approach, observe that if the test statistic value is greater than the critical value, then there is evidence to reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

- If |r| greater than critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.  

<u>Explanation </u>

Based on the decision rules of the hypothesis test, the false statement about the test for a correlation is, if |r| less than or equals critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

3 0
3 years ago
What is 10÷3(4÷6)+.50
lianna [129]
52 2/9 is the answer.
8 0
3 years ago
What is the decimal equivalent of 8/3?
kenny6666 [7]
C
It goes on so it’s C with that line on top of the 6

6 0
3 years ago
Read 2 more answers
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