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Law Incorporation [45]
3 years ago
11

jason went to the post office and bought both 41 cent stamps and 26 cent postcards and spent $20.28. The number of stamps was 4

more than twice the number of post cards. How many of each did he buy?
Mathematics
1 answer:
marissa [1.9K]3 years ago
6 0

Jason bought 38 stamps and 17 postcards

<em><u>Solution:</u></em>

Let "a" be the number of stamps bought

Let "b" be the number of postcards bought

<em><u>The number of stamps was 4 more than twice the number of post cards</u></em>

Therefore,

Number of stamps bought = 4 + 2(number of post cards)

a = 4 + 2b ------- eqn 1

<em><u>Jason bought both 41 cent stamps and 26 cent postcards and spent $20.28</u></em>

1 dollar is equal to 100 cents

Thus, $ 20.28 is equal to 2028 cents

Therefore, we frame a equation as:

41 \times a + 26 \times b = 2028

41a + 26b = 2028 ----------- eqn 2

<em><u>Let us solve eqn 1 and eqn 2</u></em>

<em><u>Substitute eqn 1 in eqn 1</u></em>

41(4 + 2b) + 26b = 2028

164 + 82b + 26b = 2028

164 + 108b = 2028

108b = 1864

b = 17.25 \approx 17

<em><u>Substitute b = 17 in eqn 1</u></em>

a = 4 + 2(17)

a = 4 + 34

a = 38

Thus Jason bought 38 stamps and 17 postcards

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Answer:

(a) Explained below.

(b) The 99% confidence interval for the difference between proportions is (-0.00094, 0.00494).

Step-by-step explanation:

The information provided is:

n (Men who finished the marathon) = 25,221

n (Women who finished the marathon) = 12,883

Compute the proportion of men and women who finished the marathon as follows:

\hat p_{1}=\frac{25221}{25221 +253}=0.99\\\\\hat p_{2}=\frac{12883 }{12883+163}=0.988

The combined proportion is:

\hat P=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}\\\\=\frac{25221+12883}{38520}\\\\=0.989

(a)

The hypothesis is:

<em>H</em>₀: The rate of those who finish the marathon is the same for men and women, i.e. <em>p</em>₁ - <em>p</em>₂ = 0.

<em>Hₐ</em>: The rate of those who finish the marathon is not same for men and women, i.e. <em>p</em>₁ - <em>p</em>₂ ≠ 0.

Compute the test statistic as follows:

Z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat P(1-\hat P)\cdot [\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}

   =\frac{0.99-0.988}{\sqrt{0.989(1-0.989)\times[\frac{1}{25474}+\frac{1}{13046}]}}\\\\=1.78

Compute the <em>p</em>-value as follows:

p-value=2\times P(Z>1.78)\\\\=2\times 0.03754\\\\=0.07508\\\\\approx 0.075

The <em>p</em>-value of the test is more than the significance level. The null hypothesis was failed to be rejected.

Thus, concluding that the rate of those who finish is the same for men and women.

(b)

Compute the 99% confidence interval for the difference between proportions as follows:

The critical value of <em>z</em> for 99% confidence level is 2.58.

CI=(\hat p_{1}-\hat p_{2})\pm z_{\alpha/2}\cdot\sqrt{\frac{\hat p_{1}(1-\hat p_{1})}{n_{1}}+\frac{\hat p_{2}(1-\hat p_{2})}{n_{2}}}

     =(0.99-0.988)\pm 2.58\times\sqrt{\frac{0.99(1-0.99)}{25474}+\frac{0.988(1-0.988)}{13046}}\\\\=0.002\pm 0.00294\\\\=(-0.00094, 0.00494)\\\\

Thu, the 99% confidence interval for the difference between proportions is (-0.00094, 0.00494).

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Step-by-step explanation

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Start from the parent function f(x)=x^2


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So, the transformation from (x-5)^2+7 to (x+1)^2-2 is: go 6 units to the left and 2 units down

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