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iVinArrow [24]
3 years ago
5

Y^2 isolate 19x^2+4y^2=25

Mathematics
1 answer:
qaws [65]3 years ago
6 0

Answer:

Simplifying

x2 + -4y2 = 25

Solving

x2 + -4y2 = 25

Solving for variable 'x'.

Move all terms containing x to the left, all other terms to the right.

Add '4y2' to each side of the equation.

x2 + -4y2 + 4y2 = 25 + 4y2

Combine like terms: -4y2 + 4y2 = 0

x2 + 0 = 25 + 4y2

x2 = 25 + 4y2

Simplifying

x2 = 25 + 4y2

Reorder the terms:

-25 + x2 + -4y2 = 25 + 4y2 + -25 + -4y2

Reorder the terms:

-25 + x2 + -4y2 = 25 + -25 + 4y2 + -4y2

Combine like terms: 25 + -25 = 0

-25 + x2 + -4y2 = 0 + 4y2 + -4y2

-25 + x2 + -4y2 = 4y2 + -4y2

Combine like terms: 4y2 + -4y2 = 0

-25 + x2 + -4y2 = 0

The solution to this equation could not be determined.

Step-by-step         sorry if im wrong

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if 2500 is invested for 4 years and 500 is earned in simple interest, then the yearly interest rate is?
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• A researcher claims that less than 40% of U.S. cell phone owners use their phone for most of their online browsing. In a rando
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Answer:

We failed to reject H₀

Z > -1.645

-1.84 > -1.645

We failed to reject H₀

p > α

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We do not have significant evidence at a 1% significance level to claim that less than 40% of U.S. cell phone owners use their phones for most of their online browsing.

Step-by-step explanation:

Set up hypotheses:

Null hypotheses = H₀: p = 0.40

Alternate hypotheses = H₁: p < 0.40

Determine the level of significance and Z-score:

Given level of significance = 1% = 0.01

Since it is a lower tailed test,

Z-score = -2.33 (lower tailed)

Determine type of test:

Since the alternate hypothesis states that less than 40% of U.S. cell phone owners use their phone for most of their online browsing, therefore we will use a lower tailed test.

Select the test statistic:  

Since the sample size is quite large (n > 30) therefore, we will use Z-distribution.

Set up decision rule:

Since it is a lower tailed test, using a Z statistic at a significance level of 1%

We Reject H₀ if Z < -1.645

We Reject H₀ if p ≤ α

Compute the test statistic:

$ Z =  \frac{\hat{p} - p}{ \sqrt{\frac{p(1-p)}{n} }}  $

$ Z =  \frac{0.31 - 0.40}{ \sqrt{\frac{0.40(1-0.40)}{100} }}  $

$ Z =  \frac{- 0.09}{ 0.048989 }  $

Z = - 1.84

From the z-table, the p-value corresponding to the test statistic -1.84 is

p = 0.03288

Conclusion:

We failed to reject H₀

Z > -1.645

-1.84 > -1.645

We failed to reject H₀

p >  α

0.03 > 0.01

We do not have significant evidence at a 1% significance level to claim that less than 40% of U.S. cell phone owners use their phones for most of their online browsing.

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A farmer has 113 sheep. 47 of them are males. How many more female sheep are there than make sheep?
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113-47 = 66 female sheep

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