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Artist 52 [7]
3 years ago
9

Neeeedddd helpppp ....

Mathematics
1 answer:
dalvyx [7]3 years ago
5 0

Answer:

y=90

x=51

Step-by-step explanation:

square beens right angle; 90 degrees

y=90

90+39

129

180(degrees for straight line)-129

51

x=51

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zheka24 [161]

Solution :

$n_1=178, \hat p_1 = 0.48$

$n_2=427, \hat p_2 = 0.38$

$\hat p_1=\frac{x_1}{n_1}$

$x_1=n_1 \hat p_1$

   = 178 x 0.48

   = 85.44

    ≈ 85

$x_2=n_2 \hat p_2$

   = 427 x 0.38

   = 162.26

    ≈ 162

a). Yes, the sample sizes are large enough to use the large sample confidence interval so as to estimate the difference in the population proportions.

Let $\hat p_1 = 0.48, \ \ \hat p_2 = 0.38, n_1 = 178 \ \ n_2 = 427$

Where the $\text{subscript indicates}$ the age $18-29$ group and the 2 - subscript indicates the age $50-64$ group.

Since $n_1 \hat p_1 = 85.44$

$n_1(1- \hat p_1)=92.56, \ \ n_2\hat p_2 = 162.26, \ n_2(1-\hat p_2) = 264.74 $

are  all at least 10, the sample sizes are large enough to use the large sample confidence interval.

$P_0=\frac{x_1+x_2}{n_1+n_2}$

   $=\frac{85.44+162.26}{178+427}$

  = 0.409421

$P_0 = 0.4074$

$Q_0=1-P_0$

     = 1 - 0.4094

     = 0.5906

b). 90% confidence interval is

  $=\left( \hat p_1- \hat p_2 \pm \frac{z \alpha}{2} \times \sqrt{P_0Q_0\left(\frac{1}{n_1}+\frac{1}{n_2}}\right) \right)$

  $=\left( 0.48-0.38 \pm \frac{z \times 0.10}{2} \times \sqrt{0.4094 \times 0.5906\left(\frac{1}{178}+\frac{1}{427}}\right) \right)$

 $=(0.1 \pm z 0.05 \times 0.04387082)$

 $=(0.1 \pm 1.64 \times 0.0439)$

 $=(0.1 - 0.071996, 0.1+0.071996)$

 $=(0.028004, 0.171996)$

 $=(0.0280, 0.1720)$

c). Zero is not included in the confidence interval. Answer is no. The difference in the two population proportion are different from each other.

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