Hions

the number of chirps made by a cricket varies directly as the temperature. If at 12 degrees a cricket chirps 30 times per minute

GenaCL600 [577]

Answer:

50 i think?

Step-by-step explanation:

30 divided by 12 is 2.5, 2.5 x 20 equals 50

4 0

2 years ago

What is the formula to calculate the surface area of a rectangular prism with a cube removed?

ch4aika [34]

2ab + 2bc + 2ac the formula for the rectangular prism and i'm guessing you would find the answer to this than you would find your formula for the cube which is 6 a 2 and you would find that answer.
You would take your total for the rectangular prism answer and subtract the cube answer from it and you would probably get your answer.
hope that helped?!
:)

3 0

3 years ago

Judd worked 40 hours this week. He worked 7/10 of the hours outside and the rest inside. How many hours did he work outside?

Mnenie [13.5K]

If you would like to know how many hours did Judd work outside, you can calculate this using the following steps:

40 hours
outside: 7/10 of the hours = 7/10 * 40 hours = 7/10 * 40 = 28 hours

Judd worked 28 hours outside.

3 0

3 years ago

The four vertices of a rectangle drawn on a complex plane are defined by 1 + 4i, -2 + 4i, -2 – 3i, and 1 – 3i. The area of the r

kompoz [17]

The rectangle is 1-(-2) = 3 units in the real direction and 4i-(-3i) = 7 units in the imaginary direction. Its area is 3×7 = 21 square units.

7 0

2 years ago

Read 2 more answers

A process that fills packages is stopped whenever a package is detected whose weight falls outside the specification. Assume tha

swat32

Answer:

The mean number of packages that will be filled before the process is stopped is 50.

Step-by-step explanation:

For each package, there are only two possible outcomes. Either it fails outside the specifications, or it does not. Packages are independent. This means that we use the binomial probability distribution to solve this question.

Binomial probability 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.

Number of trials expected for n sucesses

Also called inverse binomial distribution, is given by:

$E = \frac{n}{p}$

In which p is the probability of a success in a trial.

Assume that each package has probability 0.02 of falling outside the specification and that the weights of the packages are independent.

This means that $p = 0.02$

Find the mean number of packages that will be filled before the process is stopped.

This is when $n = 1$ , as the process is stopped when a package is outside the specifications. So

$E = \frac{n}{p} = \frac{1}{0.02} = 50$

The mean number of packages that will be filled before the process is stopped is 50.

5 0

2 years ago