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goldenfox [79]
3 years ago
14

The original price of a ski jacket was $260. It was on sale at a 25% discount. Arianna had a coupon for an additional 10% off th

e sale price. What price did Arianna pay for the ski jacket?

Mathematics
2 answers:
Tasya [4]3 years ago
4 0

Answer:

175.5

Step-by-step explanation:

260 - 25% discount is 195 because 25% is 1/4

Then you take 10% off 195 which is 19.5

Then you subtract and get 175.5

Hope this helps!!

rewona [7]3 years ago
3 0

Answer:

The answer is 175.5.

Step-by-step explanation:

This is because 25% of $260 is $65. Then you must subtract that from the original price. $260 - $65 = $195. Then, it says '10% off the sale price'. The sale price is $195. 10% of this is 19.5. Finally, you subtract this from the $195, with a final amount of $175.50

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  b ≈ 2.7

Step-by-step explanation:

The missing angle A is ...

  A = 180° -53° -80° = 47°

The law of sines tells you ...

  b/sin(B) = a/sin(A)

  b = sin(80°)×2/sin(47°) ≈ 2.6931

Side b is about 2.7 units.

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What is the lowest common denominator of the following rational expressions?
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Brandon buys a radio for $45.09 in a state where the sales tax is 7%. How much does he pay in taxes? If necessary round to the n
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Step-by-step explanation:

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Suppose that a college determines the following distribution for X = number of courses taken by a full-time student this semeste
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Answer:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

Step-by-step explanation:

Previous concepts

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

Solution to the problem

For this case we have the following distribution given:

X          3      4       5        6

P(X)   0.07  0.4  0.25  0.28

We can calculate the mean with the following formula:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74

In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36

And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

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3 years ago
Helppppppppppppppppppppppppppppppppppppppppppppppppppppp
DiKsa [7]

Answer:

8.40049 × 10^7

Step-by-step explanation:

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