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Alinara [238K]
2 years ago
14

This is for my friend so if you could solve this asap that would be great

Mathematics
2 answers:
Yuliya22 [10]2 years ago
8 0

Answer:

1. 5x^2 − 3x − 2

2. 4s^2 −28s + 49

3. 4y^2 + 9y + 8

musickatia [10]2 years ago
8 0

Answer:

<h2><u>[1] 5x² - 3x - 2</u></h2><h2><u>[2] 4s² - 28s + 49</u></h2><h2><u>[3] 4y² + 9y + 8</u></h2>

Explanation:

  • (3x² + 4) - (-2x² + 3x + 6)

<u>Remove Parenthesis: (a) = a</u>

3x² + 4 - (-2x² + 3x + 6)

<u>Simplify -(-2x² + 3x + 6): 2x² - 3x - 6</u>

3x² + 4 + 2x² - 3x - 6

<u>Simplify 3x² + 4 + 2x² - 3x - 6</u>

5x² - 3x - 2

  • (2s - 7)²

<u>Apply Perfect Square Formula: (a - b)² = a² - 2ab + b²²: a = 2s, b = 7</u>

(2s)² - 2 · 2s · 7 + 7²

<u>Simplify (2s)² - 2 · 2s · 7 + 7²</u>

4s² - 28s + 49

  • (7y² + 9y - 2) + (-3y² + 10)

<u>Remove Parenthesis: (a) = a</u>

7y² + 9y - 2 - 3y² + 10

<u>Group Like Terms</u>

7y² - 3y² + 9y - 2 + 10

<u>Add Similar Elements: 7y² - 3y² = 4y²</u>

4y² + 9y - 2 + 10

<u>Add: -2 + 10 = 8</u>

4y² + 9y + 8

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Step-by-step explanation:

Test statistic (t) = (mean 1 - mean 2) ÷ sqrt[pooled variance (1/n1 + 1/n2)]

Let the difference between the two means be x and the pooled variance be y

n1 = 5, n2 = 12

t = x ÷ sqrt[y(1/5 + 1/12)] = x ÷ sqrt(0.283y) = x ÷ 0.532√y = 1.88x/√y

Assuming the ratio of x to √y is 0.5

t = 1.88×0.5 = 0.94

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degree of freedom = n1 + n2 - 2 = 17 - 2 = 15

significance level = 0.05 = 5%

critical value corresponding to 15 degrees of freedom and 5% confidence interval is 2.131

The test is a two-tailed test because the alternate hypothesis is expressed using not equal to.

The region of no rejection of the null hypothesis lies between -2.131 and 2.131

Conclusion

Fail to reject the null hypothesis because the test statistic 0.94 falls within the region bounded by the critical values.

The scientist's claim is right.

A null hypothesis is a statement from a population parameter which is either rejected or accepted (fail to reject) upon testing. It is expressed using the equality sign.

An alternate hypothesis is also a statement from a population parameter which negates the null hypothesis and is accepted if the null hypothesis is rejected. It is expressed using any of the inequality signs.

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