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Sav [38]
2 years ago
12

while shopping for clothes, Tracy spent $38 less than 3 times what Daniel spent. write and solve an equation to find how much Da

niel spent.
Mathematics
2 answers:
lana [24]2 years ago
5 0

Answer:  3x - 38

Step-by-step explanation:

Let, Tracy spent in the cloths = $ x

Tracy spent $38 less than 3 times what Daniel spent

\implies \text{ Daniel spent in the cloths} = 38 - 3 \times \text{ Tracy's spending in the cloths}

= 38 - 3 x

Which is the required expression of Daniel spending on the cloth.

zzz [600]2 years ago
3 0

Answer:

Daniel spent \frac{1}{3}times 38 more than Tracy.

Step-by-step explanation:

Given that  Tracy spent $38 less than 3 times what Daniel spent.

we have to find out the equation for how much Daniel spent

Let Daniel spent $x

Given that  Tracy spent $38 less than 3 times what Daniel spent.

∴ Tracy spent= $(3x-38)

Solve for x is

3x=Tracy spent + 38

⇒ x=\frac{Tracy spent+38}{3}Hence, Daniel spent [tex]\frac{1}{3}times 38 more than Tracy.


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f(x,y)= total cost in $

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Adding the fractions<br><br> 3/14+2/21+1/6
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Answer:

\frac{10}{21}

Step-by-step explanation:

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We require to change the fractions to fractions with a denominator of 42

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= \frac{9}{42} + \frac{4}{42} + \frac{7}{42} ← add the numerators, leaving the denominator

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= \frac{20}{42} ← divide both values by 2

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6 0
2 years ago
A certain kind of sheet metal has, on average, 3 defects per 18 square feet. Assuming a Poisson distribution, find the probabili
Fofino [41]

Answer:

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

Step-by-step explanation:

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 time interval.

In this problem, we have that:

3 defects per 18 square feet.

So for 31 square feet, we have to solve a rule of three

3 defects - 18 square feet

x defects - 31 square feet

18x = 3*31

x = \frac{31*3}{18}

x = 5.17

So \mu = 5.17

Assuming a Poisson distribution, find the probability that a 31 square foot metal sheet has at least 4 defects.

Either it has three or less defects, or it has at least 4 defects. The sum of the probabilities of these events is decimal 1.

So

P(X \leq 3) + P(X \geq 4) = 1

We want P(X \geq 4)

So

P(X \geq 4) = 1 - P(X \leq 3)

In which

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)

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

P(X = 0) = \frac{e^{-5.17}*(5.17)^{0}}{(0)!} = 0.0057

P(X = 1) = \frac{e^{-5.17}*(5.17)^{1}}{(1)!} = 0.0294

P(X = 2) = \frac{e^{-5.17}*(5.17)^{2}}{(2)!} = 0.0760

P(X = 3) = \frac{e^{-5.17}*(5.17)^{3}}{(3)!} = 0.1309

So

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) = 0.0057 + 0.0294 + 0.0760 + 0.1309 = 0.242

Finally

P(X \geq 4) = 1 - P(X \leq 3) = 1 - 0.242 = 0.758

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

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( 6,2)

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Make the c the subject

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Step 4: sub the value of c into the equation

y = 3x + c

y = 3x - 16

The equation of the line is

y = 3x - 16

If you try out the other formula, u will get the same answer

5 0
3 years ago
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