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pantera1 [17]
3 years ago
15

What is this answer to the picture i put below

Mathematics
1 answer:
garik1379 [7]3 years ago
3 0

I dont know sorry

So sorry really wish i could help

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If y=(x^2-4)^5(3x+4)^4
alexira [117]

Answer:

y'=2(3x+4)^3(x^2-4)^4(21x^2+20x-24)

Step-by-step explanation:

y=(x^2-4)^5(3x+4)^4

y'=[\frac{d}{dx}(x^2-4)^5](3x+4)^4+(x^2-4)^5[\frac{d}{dx}(3x+4)^4]

y'=10x(x^2-4)^4(3x+4)^4+(x^2-4)^5(12(3x+4)^3)

y'=10x(x^2-4)^4(3x+4)^4+12(x^2-4)^5(3x+4)^3

y'=2(3x+4)^3(x^2-4)^4(21x^2+20x-24)

5 0
2 years ago
Solve for this please show work tysm
dalvyx [7]

Answer:

P1= -2/3

P2= -10/3

Step-by-step explanation:

take the sq rt of both sides and use both + and - roots

3P+6=4

3P+6=-4

subtract 6 from both sides for each one

3P=-2

P=-2/3

3P=-10

P= -10/3

8 0
2 years ago
Please can anyone simplyfy that and can you tell the steps?​​
spayn [35]

Step-by-step explanation:

Hope I did the way it was required! And helped you somehow!

6 0
3 years ago
28)A regression equation is obtained for a collection of paired data. It is found that the total variation is 24.488, the explai
Doss [256]

Answer: The coefficient of determination = 0.6291

Step-by-step explanation:

Given: Total variation is 24.488, the explained variation is 15.405, and the unexplained variation is 9.083.

The coefficient of determination is computed as:

\text{ coefficient of determination} =\frac{\text{explained variation }}{\text{total variation}}

Substituting given values, we get

\text{coefficient of determination} =\frac{15.405}{24.488}

=0.6291

Therefore, the coefficient of determination = 0.6291

7 0
2 years ago
The meaning of significance. Asked to explain the meaning of "statistically significant at the α=0.05 level," a student says: "T
Irina18 [472]

Answer:

This explanation is not correct

Explanation:

Significance level is the probability that the null hypothesis rejected is in fact true. If we say there is a significance level of 0.10 or 10%(α=0.10 level) then there is a 10% chance of incorrectly rejecting the null hypothesis when there is actually no difference.

If we wish to reach a conclusion on rejection or acceptance of the null hypothesis, we could use the p value(the probability that observed results or more extremee results are true given null hypothesis)which we compare with the significance level to conclude. If the significance level is 0.10 and p value is 0.07(since p value is less than significance level) , we reject the null hypothesis and vice versa.

3 0
3 years ago
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