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Musya8
10 days ago
12

Hyo-Jin makes bracelets and sells them on an online craft website. Last month, she sold 6 bracelets. After paying the website a

commission of $1.25 for each bracelet sold, Hyo-Jin made a total of $16.50. How much does each bracelet sell for on the website? Explain the steps you followed to get your answer.
Mathematics
2 answers:
Leona [12.1K]10 days ago
8 0
 I created an equation to demonstrate that the quantity of bracelets multiplied by their individual price, subtracted by the commission, equals the total, forming the equation 6(x - 1.25) = 16.50. I then divided both sides by 6 and added 1.25 to each side, resulting in x = 4. Thus, Hyo-Jin sold each bracelet for $4.
Leona [12.1K]10 days ago
5 0
Total commission = 1.25 * 6 = 7.5. Total earnings = 16.50 + 7.5 = 24. Now, the price for one bracelet = 24 / 6 = 4. In summary, the answer would be $4. Hope this information is helpful!
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Detailed Explanation:

Since 2 multiplied by 10 equals 20, you can take 40 and also multiply it by 10 for the correct total.

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Answer:

The total expected value and standard deviation of your winnings are -$0.081 and $3, respectively.

Step-by-step explanation:

In European roulette, a wheel with 37 slots is spun: 18 are red, 18 are black, and 1 is green.

Bettors can wager on either red or black. Winning on their chosen color means they double their bet, while losing means they forfeit their stake.

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The probability of it landing in a black slot = \frac{18}{37}

The probability for landing in the green slot = \frac{1}{37}

Since bets are only placed on red or black,

The winning probability = \frac{18}{37}

and losing probability = \frac{18}{37}+\frac{1}{37}

= \frac{19}{37}

If a gambler wins, they receive $3, and if they lose, it amounts to -$3.

The expected value of the total winnings is hence;

E(X) = \sum X \times P(X)

= \$3 \times \frac{18}{37} + (-\$3 \times \frac{19}{37})

= \$3 \times (-\frac{1}{37})  = -$0.081

Furthermore, the standard deviation of the total winnings is given by;

S.D.(X) = \sqrt{(\sum X^{2} \times P(X))-(\sum X \times P(X))^{2} }

<pTherefore, E(X^{2})=\sum X^{2} \times P(X)

= \$3^{2} \times \frac{18}{37} + (-\$3^{2} \times \frac{19}{37})

= \$9 \times (\frac{18}{37}+\frac{19}{37})  = $9

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6 0
1 month ago
The blood platelet counts of a group of women have a​ bell-shaped distribution with a mean of 247.9 and a standard deviation of
PIT_PIT [11929]

Answer:

A) The estimated proportion of women whose platelet counts fall within 2 standard deviations of the mean, or between 118.5 and 377.3, is 95%.

B) The estimated percentage of women with platelet counts ranging from 53.8 to 442.0 is 99.7%.

Step-by-step explanation:

Provided data:

mean;μ = 247.9

standard deviation;σ = 64.7

A) We seek to find the estimated percentage of women with platelet counts within 2 standard deviations from the mean, which translates to values between 118.5 and 377.3.

Based on the attached image, the empirical curve indicates that the likelihood within 1 standard deviation of the mean is (34% + 34%) = 68%.

In contrast, the likelihood within 2 standard deviations from the mean is (13.5% + 34% + 34% + 13.5%) = 95%

Therefore, the estimated percentage of women having platelet counts within 2 standard deviations of the mean, or ranging from 118.5 to 377.3, equals 95%

B) Next, we want to determine the estimated percentage of women with platelet counts between 53.8 and 442.0.

The values of 53.8 and 442.0 correspond to 3 standard deviations from the mean.

Let’s verify that.

Since mean;μ = 247.9

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μ = 247.9

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μ + 3σ = 247.9 + 3(64.7) = 442

Also;

μ - 3σ = 247.9 - 3(64.7) = 53.8

From the attached empirical curve, it can be seen that at 3 standard deviations from the mean, the probability percentage is;

(2.35% + 13.5% + 34% + 34% + 13.5% + 2.35%) = 99.7%

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