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Bumek [7]
4 years ago
15

5x-2y=-6 3x-4y = -26​

Mathematics
1 answer:
snow_tiger [21]4 years ago
3 0

For this case we must solve the following system of equations:

5x-2y = -6\\3x-4y = -26

We multiply the first equation by -2:

-10x + 4y = 12

We add the new equation with the second one:

-10x + 3x + 4y-4y = 12-26

We have different signs subtracted and the sign of the major is placed:

-7x = -14\\x = \frac {-14} {- 7}\\x = 2

Now we find the value of the variable "y":

3x-4y = -26\\3 (2) -4y = -26\\6-4y = -26\\-4y = -26-6\\-4y = -32\\y = \frac {-32} {- 4}\\y = 8

Thus, the solution of the system is given by:

(x, y) :( 2,8)

Answer:

(x, y) :( 2,8)

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In a survey of 155155 senior​ executives, 48.448.4​% said that the most common job interview mistake is to have little or no kno
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We conclude that in the population of all senior​ executives, different from 40​% say that the most common job interview mistake is to have little or no knowledge of the company.

Step-by-step explanation:

We are given that in a survey of 155 senior​ executives, 48.4% said that the most common job interview mistake is to have little or no knowledge of the company.

We have to use a 0.05 significance level to test the claim that in the population of all senior​ executives, 40% say that the most common job interview mistake is to have little or no knowledge of the company.

Let p = <u><em>population proportion of senior​ executives who said that the most common job interview mistake is to have little or no knowledge of the company</em></u>

So, Null Hypothesis, H_0 : p = 40%     {means that in the population of all senior​ executives, 40​% say that the most common job interview mistake is to have little or no knowledge of the company}

Alternate Hypothesis, H_A : p \neq 40%     {means that in the population of all senior​ executives, different from 40​% say that the most common job interview mistake is to have little or no knowledge of the company}

The test statistics that would be used here <u>One-sample z test for proportions</u>;

                             T.S. =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of senior​ executives who said that the most common job interview mistake is to have little or no knowledge of the company = 48.4%

            n = sample of senior​ executives = 155

So, <u><em>the test statistics</em></u>  =  \frac{0.484-0.40}{\sqrt{\frac{0.484(1-0.484)}{155} } }  

                                       =  2.09

The value of z test statistics is 2.09.

<u>Also, P-value of the test statistics is given by;</u>

         P-value = P(Z > 2.09) = 1 - P(Z \leq 2.09)

                       = 1 - 0.9817 = <u>0.0183</u>

<u>Now, at 0.05 significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.</u>

Since our test statistic does not lie within the range of critical values of z, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.

Therefore, we conclude that in the population of all senior​ executives, different from 40​% say that the most common job interview mistake is to have little or no knowledge of the company.

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