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2 years ago

What is the price if you mark up $50 by 10%

Mathematics

2 answers:

BARSIC [14]2 years ago

8 0

Answer:

Step-by-step explanation:

Original price = 50 and percent markup is 10%

The increase is the original price times the percent markup

increase = 50 * 10%

increase = 50*.10

= 5

The new price is the original price plus the increase

new price = 50 + 5

= 55

VladimirAG [237]2 years ago

6 0

Answer: 55

Step-by-step explanation:

⇒Original price = 50 and percent markup is 10%

⇒The increase is the original price times the percent markup

⇒increase = 50 * 10%

⇒increase = 50*.10

⇒ So the result would be = 5

⇒The new price is the original price plus the increase

 ⇒ Then, the new price is = 50 + 5

<h2> ⇒So your final answer would be = 55</h2>

* Hopefully this helps:) Mark me the brainliest:)!!!

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Suppose you invested $10,000 part at 6% annual interest and the rest at 9% annual interest. If you received $684 in interest aft

victus00 [196]

Assuming simple interest (i.e. no compounding within first year), then
At 6%, interest = 10000*0.06=$600
At 9% interest = 10000*0.09 = $900

Two ways to find the ratio
method A. let x=proportion at 6%
then
600x+900(1-x)=684
Expand and solve
300x=900-684=216
x=216/300=0.72 or 72%
So 10000*0.72=7200 were invested at 6%
10000-7200=2800 were invested at 9%

method B: by proportions
Ratio of investments at 6% and 9%
= 900-684 : 684-600
=216 : 84
= 18 : 7
Amount invested at 6% = 18/(18+7) * 10000 = 0.72*10000 = 7200
Amount invested at 8% = 7/(18+7)*10000=0.28*10000=2800

5 0

3 years ago

Assume that the random variable X is normally distributed, with mean 60 and standard deviation 16. Compute the probability P(X &

elixir [45]

Answer:

P(X < 80) = 0.89435.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 60, \sigma = 16$