112 oz= how many pounds are in 112 ounces

BlackZzzverrR [31]

So,

One tenth of 24 is the same as this:
$\frac{1}{10} * \frac{24}{1}$

Multiply
$\frac{24}{10}\ or\ \frac{12}{5}\ or\ 2 \frac{2}{5}\ or\ 2.4$

6 0

3 years ago

The beads in 7 bracelets if 4 bracelets have 96 bead

Naya [18.7K]

96/4=24 beads in 1 bracelet
beads in 7 bracelets = 24*7=168

3 0

3 years ago

12=2(q-7)<br> Solve for q

RUDIKE [14]

Answer:

not sure just want points

Step-by-step explanation:

3 0

3 years ago

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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

4 years ago

Roses cost $5 each. There is also a $10 delivery fee. Find the cost to have a dozen roses delivered.

Masja [62]

Answer:The answer is 70$

Step-by-step explanation: 12x5 which is dollars per rose is 60. 60$ is how much the roses costs. Since it is one delivery, there is a 10$ fee. 60$+10$= 70$

6 0

4 years ago

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