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Anton [14]
3 years ago
15

Crackers come in packages of 24 cheese slices come in packages of 18 and he wants one cheese slice for each cracker Patrick me t

he statement below if Andy doesn't want any crackers or cheese slices left over he needs to buy at least 432 of each is Patrick statement correct use numbers or words to explain why were you know if Patrick's exclamation is not correct what should he do?
Mathematics
1 answer:
Oxana [17]3 years ago
7 0

Answer:

Patrick's statement is incorrect

Step-by-step explanation:

Crackers come in packages of 24

cheese slices come in packages of 18

He wants one cheese slice for each cracker

Patrick made the statement below "if Andy doesn't want any crackers or cheese slices left over he needs to buy at least 432 of each"

Patrick's statement is incorrect

The lowest common multiple ( L. C. M) of 24 and 18 is 72

Therefore, Andy needs 72 packages of crackers and 72 packages of cheese slice so that no crackers or cheese slice will remain.

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A rectangular pyramid fits exactly on top of a rectangular prism. The prism has a length of 16 cm, a width of 6 cm, and a height
blondinia [14]

Answer:

<u>1,216 cm³</u>

Step-by-step explanation:

Volume (composite space figure) = Volume (pyramid) + volume (prism)

  • ⇒ [16 x 6 x 14 / 3] + [16 x 6 x 8]
  • ⇒ 96 [14/3 + 8]
  • ⇒ 96 [14/3 + 24/3]
  • ⇒ 96 x 38/3
  • ⇒ 32 x 38
  • ⇒ <u>1,216 cm³</u>
3 0
2 years ago
26 is 34% of what number
Debora [2.8K]

26/24=x/10

26*100=x*24 (cross multiply)

2,600=34x  (divide)

x=76.47

therefore 26 is 34% of 76.47

6 0
3 years ago
Find QR: 3x+22=10x-41
Tatiana [17]

Answer:

x=9

Step-by-step explanation:

subtract 22 from both sides, simplify 3x = 10x-63, subtract 10x from both sides of the equation, simplify -7x = -63, divide both sides of the equation by the same factor -7x/-7 = -63/-7, then simplify

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.

8 0
3 years ago
Use an integer to represent a temperature of 75 degrees.
IgorC [24]

Answer:

the answer is easy.

Step-by-step explanation:

5 0
3 years ago
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