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anzhelika [568]
3 years ago
7

Y=2x y=7x + 15 substitution

Mathematics
2 answers:
sergejj [24]3 years ago
7 0

y = 2x \\ y = 7x + 15

Substitute the given value of y into the equation y=7x+15

2x = 7x + 15

Move the variable to the left-hand side and change its sign

2x - 7x = 15

Collect like terms

- 5x = 15

Divide both sides of the equation by -5

x =  - 3

Substitute the given value of x into the equation y=2x

y = 2 \times ( - 3)

Solve the equation for y

y =  - 6

The possible solution of the system is the ordered pair (x,y)

(x,y) = ( - 3, - 6)

hodyreva [135]3 years ago
5 0

Answer:

y = -6 and x = -3

Step-by-step explanation:

 Data :

Eq 1 : y = 2x

Eq 2 : y = 7x + 15

So

  Take eq 1 and solve for x

  ⇒  x = y/2        eq 3

Put eq 3 in eq 2

 y =7 (y/2) +  15

   y - 7y/2 = 15

    ( 2y-7y )/2 = 15

   -5y/2 = 15

  -5y =30

y = -6

And  put value of y in eq 3 to find x

  x = -6/2

  x =-3

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Answer:

a) p_A represent the real population proportion for women

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c) (0.82-0.6) - 1.96 \sqrt{\frac{0.82(1-0.82)}{150} +\frac{0.6(1-0.6)}{170}}=0.124  

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And the 95% confidence interval would be given (0.124;0.316).  

We are confident at 95% that the difference between the two proportions is between 0.124 \leq p_A -p_B \leq 0.316

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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Part a

p_A represent the real population proportion for women

\hat p_A =\frac{123}{150}=0.82 represent the estimated proportion for women

n_A=150 is the sample size selected for women

Part b

p_B represent the real population proportion for male

\hat p_B =\frac{102}{170}=0.6 represent the estimated proportion for male

n_B=170 is the sample size elected for male

z represent the critical value for the margin of error  

Part c

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})  

The confidence interval for the difference of two proportions would be given by this formula  

(\hat p_A -\hat p_B) \pm z_{\alpha/2} \sqrt{\frac{\hat p_A(1-\hat p_A)}{n_A} +\frac{\hat p_B (1-\hat p_B)}{n_B}}  

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=1.96  

And replacing into the confidence interval formula we got:  

(0.82-0.6) - 1.96 \sqrt{\frac{0.82(1-0.82)}{150} +\frac{0.6(1-0.6)}{170}}=0.124  

(0.82-0.6) + 1.96 \sqrt{\frac{0.82(1-0.82)}{150} +\frac{0.6(1-0.6)}{170}}=0.316  

And the 95% confidence interval would be given (0.124;0.316).  

We are confident at 95% that the difference between the two proportions is between 0.124 \leq p_A -p_B \leq 0.316

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