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2 years ago

A cylinder Container must

Mathematics

1 answer:

ruslelena [56]2 years ago

7 0

Its 300cm from the square root

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Velocity/acceleration?

cupoosta [38]

Velocity = dx/dt

Acceleration = dv/dt

Velocity/Acceleration = dx/dt * dt/dv = dx/dv

So, your answer will be dx/dv

6 0

3 years ago

A fish tank sprung a leak and loses 45% of its water.

a_sh-v [17]

Answer:

660 liters

Step-by-step explanation:

363 = (1 - 0.45)x

363 = 0.55x

x = 363/0.55 = 660

4 0

3 years ago

Which pair of related inequalities can be graphed to find the solution set to log(x + 90) ≥ 7?

docker41 [41]

Answer:

Step-by-step explanation:

Answer for edgenuity

5 0

3 years ago

Three shoppers from the survey are selected at random, one at a time without replacement. What is the probability that none of t

Travka [436]

Answer:

0.395

Step-by-step explanation:

The computation of the probability that none of the three shoppers purchased electronics is shown below:

So, first we have to determine the number of shoppers without considering the purchase i.e

= Total number of shoppers - electronics

where,

Total number of shoppers = Offices supplies + electronics + clothing + beauty supplies - electronics

= 18 + 25 + 40 + 12 - 25

= 95 - 25

= 70

Now the probability is

= $\frac{70}{95}\times\frac{69}{94}\times\frac{68}{93}$

= 0.395

5 0

3 years ago

The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem

Lorico [155]

Answer:

1. 1340

2. Variance = 47200, standard deviation = 217.25556

Step-by-step explanation:

If X is the random variable that give the number of admissions, then the expected number of admissions E[X] for the fall semester is

1080*P(X=1080)+1380*P(X=1380)+1540*P(X=1540) =

1080*0.4+1380*0.1+1540*0.5 = 1340

The variance is defined as

$\sigma^2=E[X^2]-(E[X])^2}$

We have

$E[X^2]=(1080)^2*0.4+(1380)^2*0.1+(1540)^2*0.5=1842800$

whereas

$(E[X])^2=(1340)^2=1795600$

So the variance equals

$\sigma^2=1842800-1795600=47200$

The standard deviation is just the square root of the variance, so, the standard deviation is

$\sigma=\sqrt{47200}=217.25556$

8 0

3 years ago