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valkas [14]
2 years ago
8

Need help solveing this for class!

Mathematics
1 answer:
Mandarinka [93]2 years ago
7 0

According to <em>graphical</em> and <em>analytical</em> methods, the value of the <em>input</em> variable associated with point of intersection between f(x) and g(x) is 1.5. (Correct choice: C)

<h3>How to determine the point of interception between two linear functions</h3>

<em>Linear</em> functions are polynomials with a grade of 1 and described by the following form:

y = m · x + b     (1)

Where:

  • x - Independent variable
  • m - Slope
  • y - Dependent variable
  • b - Intercept

Please notice that <em>horizontal</em> lines have a slope of 0.

There are two forms to estimate the coordinates of the point of intersection of the two functions: (i) <em>graphical</em>, (ii) <em>analytical</em>. According to the first method, the value of the <em>input</em> variable is approximately 1.5.

And according to the second method, we have the functions f(x) = 1 and g(x) = (4/3) · x - 1. Then, we must solve the following formula to determine the input variable of the point of interception:

1 = (4/3) · x - 1

(1/3) · x = 1/2

x = 3/2

x = 1.5

The value of the <em>input</em> variable is approximately 1.5.

According to <em>graphical</em> and <em>analytical</em> methods, the value of the <em>input</em> variable associated with point of intersection between f(x) and g(x) is 1.5. (Correct choice: C)

To learn more on systems of linear equations: brainly.com/question/27664510

#SPJ1

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The 90% confidence interval  -49.8

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Step-by-step explanation:

From the question we are told that

    The first sample size n_1 = 30

    The first sample mean is  \= x _1 = 323

    The first standard deviation is s_1 = 41

    The second sample size is n_2 = 45

    The second sample mean is  \=x_2 = 356

    The second standard deviation is s_2 = 45

given that the confidence level is 90% then the level of significance is mathematically represented as

          \alpha  = (100 -90)\%

         \alpha  = 0.10

Generally the critical value of \frac{\alpha }{2} obtained from the normal distribution table is  

   Z_{\frac{\alpha }{2} } = 1.645

Generally the pooled variance is mathematically represented as

        s^2 = \frac{(n_1 - 1)s_1^2  + (n_2 -1)s_2^2 }{n_1 + n_2 -2}

      s^2 = \frac{(30 -1)(41^2) + (45-1)45^2}{30+45 -2}

     s^2 = 1888.34

Generally the standard error is mathematically represented as

     SE =  \sqrt{\frac{s^2}{n_1} + \frac{s^2}{n_2}  }

=>  SE =  \sqrt{\frac{1888.34}{30} + \frac{1888.34}{45}  }

=>   SE =  10.24

Generally the margin of error is mathematically evaluated as  

      E =  Z_{\frac{\alpha }{2} } * SE

       E =  1.645* 10.24

       E = 16.85

Generally the 90% confidence interval is mathematically represented as

     \=x_1 -\=x_2 -E < \mu_1 -\mu_2 < \=x_1 -\=x_2 +E

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     -49.8

The null hypothesis is  H_o : \mu_1 = \mu_2

The alternative hypothesis H_a  :  \mu_1 <  \mu_2

Generally the test statistics is mathematically represented as

     t =  \frac{\= x_1 - \=x_2 }{SE}

=>   t = \frac{323-356}{10.24}

=>   t = -3.222

Generally the degree of freedom is mathematically represented as

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      df = 30 + 45 -2

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The p-value is obtained from the student t distribution table at degree of freedom of 73 at 0.05 level of significance

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Here the level of significance is  \alpha =  5\%  =  0.05

Given that the p-value < \alpha then we  reject the null hypothesis

Then the conclusion is  

  There is sufficient evidence to conclude that there are more passengers riding the 8:30  train

               

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