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alex41 [277]
3 years ago
6

11) Solve for x: 3(7 + 2x) + 3 = 3(5 + x) − 9(x + 1)

Mathematics
2 answers:
Lerok [7]3 years ago
6 0

Answer:

x = -1.5.

Step-by-step explanation:

3(7 + 2x) + 3 = 3(5 + x) − 9(x + 1)

21 + 6x + 3 = 15 + 3x - 9x - 9

6x - 3x + 9x = 15 - 9 - 21 - 3

12x = -18

x = -18/12

x = -1.5.

gogolik [260]3 years ago
5 0

Step-by-step explanation:

3(7 + 2x) + 3 = 3(5+ x) - 9(x + 1)

21 + 6x + 3 = 15 + 3x - 9x - 9

6x + 24 = 6 - 6x

12x = -18

x = -1.5

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Test the null hypothesis Upper H 0 : (mu 1 minus mu 2 )equals 0H0: μ1−μ2=0 versus the alternative hypothesis Upper H Subscript a
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Answer:

The test statistic t is t=2.9037.

The null hypothesis is rejected.

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Step-by-step explanation:

<em>The question is incomplete:</em>

<em>The sample 1, of size n1=25 has a mean of 1.15 and a standard deviation of 0.31. </em>

<em>The sample 2, of size n2=25 has a mean of 0.95 and a standard deviation of 0.15. </em>

This is a hypothesis test for the difference between populations means.

The null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2\neq 0

The significance level is α=0.05.

The difference between sample means is Md=0.2.

M_d=M_1-M_2=1.15-0.95=0.2

The estimated standard error of the difference between means is computed using the formula:

s_{M_d}=\sqrt{\dfrac{\sigma_1^2+\sigma_2^2}{n}}=\sqrt{\dfrac{0.31^2+0.15^2}{25}}\\\\\\s_{M_d}=\sqrt{\dfrac{0.119}{25}}=\sqrt{0.005}=0.069

Then, we can calculate the t-statistic as:

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The degrees of freedom for this test are:

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P-value=2\cdot P(t>2.9037)=0.0056

As the P-value (0.0056) is smaller than the significance level (0.05), the effect is significant.

The null hypothesis is rejected.

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4 years ago
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