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stealth61 [152]
3 years ago
13

The cost of manufacturing a printer is $35. The manufacturer has a markup of 15% when selling to a retailer. The retailer has a

markup of 30%. what is the selling price of his printer?
Mathematics
2 answers:
Sophie [7]3 years ago
6 0
Find 15% of 35:

0.15 * 35 = 5.25

Add it:

35 + 5.25 = 40.25

Now find 30% of this:

0.30 * 40.25 = 12.075

Add it:

40.25 + 12.075 = 52.325

So the price is approximately $52.33
ozzi3 years ago
3 0
The selling price of his printer is $ 52. 33
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452.39

Step-by-step explanation:

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What percent of $20,574.50 equals $1,180.47
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3 years ago
A manufacturer of computer printers purchases plastic ink cartridges from a vendor. When a large shipment is received, a random
g100num [7]

Answer:

97.4% probability

Step-by-step explanation:

Since there is only two possible outcome of inspecting the catridge : either defective or not, we can solve the problem using the binomial probability distribution (approximated to normal).

To approximate the binomial probability to normal, we find the expected value and the standard deviation of the probability of exactly x sucesses on n repeated trials with p probability

Expected values E(X) = np

Standard deviation √V(X) = √np(1-p)

using the z-score formula (X - μ)/σ, we can solve normally distributed problem.

Where μ is the mean and σ is the standard deviation. The Z-score is is the measure of how much a sample is from the mean. The p-value associated with this z-score which is the probability that the value of the measure is smaller than X can be checked on the z-score table.

FOR THIS QUESTION,

a random sample of 200 cartridges is selected

n = 200

Therefore If there are more than 0.02 × 200 = 4 defective, the sample will be returned.

To determine the approximate probability that a shipment will be returned if the true proportion of defective cartridges in the shipment is 0.05

μ = E(X)

= 0.05 × 200 = 10

σ = √V(X) = √np(1-p)

= √200 × 0.05 × 0.95

= 3.08

This probability is 1 subtracted by the pvalue of Z when X =4

Z = (X - μ)/σ

Z= (4 - 10)/3.08

Z = -1.95

Z = -1.95 has a P-value of 0.026 (on the z-score table)

This means that there is a 1 - 0.026 = 0.974

= 97.4% probability that a shipment will be returned if the true proportion of defective cartridges in the shipment is 0.05.

6 0
3 years ago
Divide 33 into 2 groups so the ratio can be 4 to 7
svet-max [94.6K]
To do this task the best way is always add both "sides" of ratio and divide whole group by this sum.sum=4+7=1133:11=3Now we know how much is 1 and we can multiply by 4 and by 7 to find the answer.3*4=12 - first group3*7=21 - second group
Your result is ok.
7 0
2 years ago
Read 2 more answers
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