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iragen [17]
3 years ago
11

A furniture store is having a weekend sale and is offering a 20% discount on patio chairs and tables. The sales tax on furniture

is 6.25%. Using function composition, how can you represent the total amount, A, that you would need to pay for furniture that costs x dollars?
Mathematics
2 answers:
konstantin123 [22]3 years ago
5 0

Answer: A = 0.85x dollars.

Step-by-step explanation:

Since we have given that

Total Amount is represented as 'A'.

Cost of furniture = x dollars

Rate of discount = 20%

Amount of discount is given by

\frac{20}{100}\times x\\\\=0.2\times x\\\\=0.2x

So, Amount after discount becomes

=x-0.2x\\\\=0.8x

Rate of sales tax = 6.25%

Amount of sales tax is given by

\frac{6.25}{100}\times 0.8x\\\\=0.0625\times 0.8x\\\\=0.05x\ dollars

So, Amount after sales tax becomes,

A=0.8x+0.05x\\\\=0.85x\ dollars

Hence, A = 0.85x dollars.

BARSIC [14]3 years ago
3 0
The price will be reduced by 20%, so will become 0.8x
The tax will increase the amount by 0.0625 times
Thus:
A = 0.8x + 0.0625x
A = 0.8625x
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HELP!!Luke sells pins for $4 each and rings for $6 each. Complete the equation which determines the number of pins x and the num
kicyunya [14]

Answer:

4x+4y=$40 4 pins and 4 rings

Step-by-step explanation:

Making a table is the easiest for this equation.

6/4=10

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6 0
3 years ago
Suppose that the amount of time T a customer spends in a bank is exponentially distributed with an average of 10 minutes. What i
Bad White [126]

Answer:

The probability that a customer will spend more than 15 minutes total in the bank, given that the customer has already waited over 10 minutes  is 0.6065.

Step-by-step explanation:

The random variable <em>T</em> is defined as the amount of time a customer spends in a bank.

The random variable <em>T</em> is exponentially distributed.

The probability density function of a an exponential random variable is:

f(x)=\lambda e^{-\lambda x};\ x>0

The average time a customer spends in a bank is <em>β</em> = 10 minutes.

Then the parameter of the distribution is:

\lambda=\frac{1}{\beta}=\frac{1}{10}=0.10

An exponential distribution has a memory-less property, i.e the future probabilities are not affected by any past data.

That is, <em>P</em> (<em>X</em> > <em>s</em> + <em>x</em> | <em>X</em> ><em> s</em>) = <em>P</em> (<em>X</em> > <em>x</em>)

So the probability that a customer will spend more than 15 minutes total in the bank, given that the customer has already waited over 10 minutes  is:

P (X > 15 | X > 10) = P (X > 5)

\int\limits^{\infty}_{5} {f(x)} \, dx =\int\limits^{\infty}_{5}  {\lambda e^{-\lambda x}} \, dx\\=\int\limits^{\infty}_{5}  {0.10 e^{-0.10 x}} \, dx\\=0.10\int\limits^{\infty}_{5}  {e^{-0.10 x}} \, dx\\=0.10|\frac{e^{-0.10 x}}{-0.10}|^{\infty}_{5}\\=[-e^{-0.10 \times \infty}+e^{-0.10 \times 5}]\\=0.6065

Thus, the probability that a customer will spend more than 15 minutes total in the bank, given that the customer has already waited over 10 minutes  is 0.6065.

8 0
3 years ago
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kupik [55]

Answer:

the first thing you do is 50,000 ×3% x1 and multiple it with the percent sign then it will give you 1,500

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