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saw5 [17]
3 years ago
10

What is the solution and the inequality ?

Mathematics
1 answer:
Nikolay [14]3 years ago
4 0
Inequality : 19.50n+24≤$110

Solution: Alyssa can buy 4 DVDs

Work: 110-24=86
           86/19.50 = 4.4

You can't have a fraction of a DVD, so you have to round down to 4. 
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The cost in dollars y of producing x computer
soldier1979 [14.2K]

Answer:

Step-by-step explanation:

a. table

x = 100,y = 20*100+3000 = 2000+3000 = 5000

x = 200,y = 20*200+3000 = 4000+3000 = 7000

x = 300,y = 20*300+3000 = 6000+3000 = 9000

b:

y = 4300

4300 = 20x+3000

20x = 4300-3000

20x = 1300

x = 1300/20

x  = 65

so 65 computer desks can be produced.

4 0
3 years ago
-4/7 + 2/7x - 14x + 4/7
alexgriva [62]

Answer:

The solved given expression is

\frac{-4}{7}+\frac{2}{7}x-14x+\frac{4}{7}=\frac{-96x}{7}

Step-by-step explanation:

Given expression is \frac{-4}{7}+\frac{2}{7}x-14x+\frac{4}{7}

To solve the given expression :

\frac{-4}{7}+\frac{2}{7}x-14x+\frac{4}{7}

=\frac{-4+4+2x}{7}-14x

=\frac{0+2x}{7}-14x

=\frac{2x}{7}-14x

=\frac{2x-14x(7)}{7}

=\frac{2x-98x}{7}

=\frac{-96x}{7}

Therefore \frac{-4}{7}+\frac{2}{7}x-14x+\frac{4}{7}=\frac{-96x}{7}

Therefore the solved given expression is

\frac{-4}{7}+\frac{2}{7}x-14x+\frac{4}{7}=\frac{-96x}{7}

5 0
3 years ago
The amount of money Jerome saves after w weeks is represented by the function f(w)=15w+230
Aliun [14]
15 represents the slope of the function. In other words it means that for every week Jerome earns 15 dollars more. Hope this helps :)
5 0
3 years ago
Read 2 more answers
The number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.08
kvv77 [185]

Answer:

a) 44.93% probability that there are no surface flaws in an auto's interior

b) 0.03% probability that none of the 10 cars has any surface flaws

c) 0.44% probability that at most 1 car has any surface flaws

Step-by-step explanation:

To solve this question, we need to understand the Poisson and the binomial probability distributions.

Poisson distribution:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given interval.

Binomial distribution:

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

Poisson distribution with a mean of 0.08 flaws per square foot of plastic panel. Assume an automobile interior contains 10 square feet of plastic panel.

So \mu = 10*0.08 = 0.8

(a) What is the probability that there are no surface flaws in an auto's interior?

Single car, so Poisson distribution. This is P(X = 0).

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-0.8}*(0.8)^{0}}{(0)!} = 0.4493

44.93% probability that there are no surface flaws in an auto's interior

(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws?

For each car, there is a p = 0.4493 probability of having no surface flaws. 10 cars, so n = 10. This is P(X = 10), binomial, since there are multiple cars and each of them has the same probability of not having a surface defect.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 10) = C_{10,10}.(0.4493)^{10}.(0.5507)^{0} = 0.0003

0.03% probability that none of the 10 cars has any surface flaws

(c) If 10 cars are sold to a rental company, what is the probability that at most 1 car has any surface flaws?

At least 9 cars without surface flaws. So

P(X \geq 9) = P(X = 9) + P(X = 10)

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 9) = C_{10,9}.(0.4493)^{9}.(0.5507)^{1} = 0.0041

P(X = 10) = C_{10,10}.(0.4493)^{10}.(0.5507)^{0} = 0.0003

P(X \geq 9) = P(X = 9) + P(X = 10) = 0.0041 + 0.0003 = 0.0044

0.44% probability that at most 1 car has any surface flaws

5 0
3 years ago
Look at attachment inside please help me im on timer
Julli [10]

4x { }^{2}  + 5 +  \frac{27}{x + 5}
3 0
3 years ago
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