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Tpy6a [65]
1 year ago
6

Check off the methods of differentiation required, and complete the derivative.

Mathematics
1 answer:
kogti [31]1 year ago
6 0

Given:

f(x)=\sqrt[]{5x^2-2}

f(X) will be differentiated by chain rule.

\begin{gathered} f^{\prime}(x)=\frac{1}{2\sqrt[]{5x^2-2}}\lbrack5(2x)\rbrack \\ f^{\prime}(x)=\frac{5x}{\sqrt[]{5x^2-2}} \end{gathered}

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Three transformations will be performed on triangle ABC. Which set of transformations will always produce a congruent triangle?
Airida [17]

Answer: C (Rotation, Translation and Reflection )

Step-by-step explanation:

A congruence transformation is the type that won't change the shape of the triangle.

They are the reflections(flips), rotations(turns) and translations(slides).

3 0
3 years ago
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connie makes $18.25 each day she babysits if she babysits monday through friday for 4 weeks how much money will connie make
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A researcher is evaluating the influence of a treatment using a sample selected from a normally distributed population with a me
Bad White [126]

Answer:

The power of the test is 0.67.

Step-by-step explanation:

The complete question is:

A researcher is evaluating the influence of a treatment using a sample selected from a normally  distributed population with a mean of μ = 80 and a standard deviation σ = 20. The researcher  expects a 12-point treatment effect and plans to use a two-tailed hypothesis test with α = 0.05. Compute the power of the test if the researcher uses a sample of n = 16 individuals .

Solution:

The information provided are:

\mu=80\\\sigma = 20\\n = 16\\\alpha=0.05

The expected mean is:

\mu_{\bar x}=80+12=92

The critical <em>z</em>-score at <em>α</em> = 0.05 for a two-tailed test is:

<em>z</em> = 1.96

*Use a <em>z-</em>table.

Compute the test statistic value as follows:

z_{\bar x}=\frac{\mu_{\bar x}-\mu}{\sigma_{\bar x}}=\frac{92-80}{20/\sqrt{16}}=2.4

The power of statistical test is well-defined as the probability that we reject a false null hypothesis.

Power = Area to the right of the critical <em>z</em> under the assumption that H₀ is false.

Location of  critical <em>z</em> (in H₀ is false distribution) = z_{\bar x}-z

                                                                             = 2.4 - 1.96 \\= -0.44

This is negative because the critical z score is to the left of the mean  of the H₀ in false distribution.

Area above z = -0 .44.

Compute the value of P (Z > -0.44) as follows:

P(Z>-0.44)=1-P(Z

Thus, the power of the test is 0.67.

7 0
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I believe this is what you needed
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