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3 years ago

The sale price of a used car is $4,160 after a 35% discount. What is the original price of the car?

Mathematics

1 answer:

erik [133]3 years ago

3 0

Answer: The original price was $6,400

Step-by-step explanation: To find the original price, divide the sale price by 1 minus the discount rate: 4160 / (1- 0.35) = 4160 / 0.65 = 6400

mark brainliest?? plz :)

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3 years ago

The music store sold 12 trumoets and 19 clarinets last month. If clariners sell for $139.95 and the store made $4,578.45 from sa

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Answer:

$159.95

Step-by-step explanation:

Let price of trumphet be defined by $x$

price of clarinet = $139.95

Number of clarinets sold = 19

Earning through clarinets' sale = $19*139.95 = 2659.05$

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Earning through trumphets' sale = $4578.45 - 2659.05 = 1919.40$

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3 years ago

Amanda is doing a show for 6.99 a minute and only receives 20% OF THE DOLLAR of that from her company. If she does a show for 10

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Step-by-step explanation:

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2 years ago

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Find the probability of at least 6 failures in 7 trials of a binomial experiment in which the probability of success in any one

oksano4ka [1.4K]

Answer:

$P(x \geq 6)=P(X=6)+P(X=7)$

And we can find the individual probabilities:

$P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358$

$P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517$

And replacing we got:

$P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=7, p=1-0.09=0.91)$

The probability associated to a failure would be p =1-0.09 = 0.91

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

And we want to find this probability:

$P(x \geq 6)=P(X=6)+P(X=7)$

And we can find the individual probabilities:

$P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358$

$P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517$

And replacing we got:

$P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875$

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3 years ago

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Ede4ka [16]

Answer:

p = 9

Step-by-step explanation:

8(8p + 8) = 640

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3 years ago

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