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borishaifa [10]
3 years ago
15

Jamie's parents own a hardware store. They asked Jamie to put the retail prices on an order of hammers that was just delivered.

The wholesale cost of each hammer is $8.50. The store markup is 60%. What retail price will Jamie put on each hammer?
Mathematics
1 answer:
swat323 years ago
7 0

Answer:

Retail price of  each hammer is $ 13.60

Step-by-step explanation:

Given -

Whole sale cost of each hammer is   $8.50

Whole sale price means the discounted price of each hammer at the time of purchase.

Retails price is the selling price marked on each hammer which is marked up by 60 % on the whole sale price

As we know that

Marking up the price of any commodity by X % above its retails price means charging a price X% higher than the cost of the good or service

Retail price of one hammer

(Whole sale price of one + 60 % * Whole sale price of one hammer)

Substituting the given values in above equation, we get-

8.50 + \frac{60}{100} * 8.50\\= 8.50 + 0.60 * 8.50\\= 13.6

Retail price of  each hammer is $ 13.60

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4 0
4 years ago
The average human gestation period is 270 days with a standard deviation of 9 days. The period is normally distributed. What is
Anna35 [415]

Answer:

Probability that a randomly selected woman's gestation period will be between 261 and 279 days is 0.68.

Step-by-step explanation:

We are given that the average human gestation period is 270 days with a standard deviation of 9 days. The period is normally distributed.

Firstly, Let X = women's gestation period

The z score probability distribution for is given by;

         Z = \frac{ X - \mu}{\sigma} ~ N(0,1)

where, \mu = average gestation period = 270 days

            \sigma = standard deviation = 9 days

Probability that a randomly selected woman's gestation period will be between 261 and 279 days is given by = P(261 < X < 279) = P(X < 279) - P(X \leq 261)

         P(X < 279) = P( \frac{ X - \mu}{\sigma} < \frac{279-270}{9} ) = P(Z < 1) = 0.84134

         P(X \leq 261) = P( \frac{ X - \mu}{\sigma} \leq \frac{261-270}{9} ) = P(Z \leq -1) = 1 - P(Z < 1)

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<em>Therefore, P(261 < X < 279) = 0.84134 - 0.15866 = 0.68</em>

Hence, probability that a randomly selected woman's gestation period will be between 261 and 279 days is 0.68.

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