If r = 5 units and x = 8 units, then what is the volume of the cylinder shown above?

PLEASE HELP ASAP DUE IN 3 MINUTES

Inga [223]

Answer:

1728 in²

Step-by-step explanation:

For the area of B, you need to find the length and width (height and base, whatever you want to call it).

For the height, you would need to do: 144 - 36 - 24 - 36 = 48 inches

For the base, you would need to do: 60 - 24 = 36 inches

Now you multiply the base and height to get the area: 48 x 36 = 1728 in²

7 0

2 years ago

Assuming the amount of money college students spend on text books each semester is symmetrical with a mean of 500 and a standard

TiliK225 [7]

16% percent of the students paid MORE than Jane.

The mean(μ) of money spent on textbooks is 500

The standard deviation(σ) of money spent on textbooks is 50

Money paid by Jane for her books is $550

We will use this formula,

Ζ=x-μ/σ

To find: the percentage of students paid MORE than Jane for the textbooks

$P(X > 550)$ =?

Solution:

$P(X > 550)=1-P(X$ ≤ $550)$

= $1-P($ Ζ≤ $\frac{550-500}{50} )$

=1-P(Ζ≤ 1)

=1-0.8413

=0.1587

≈16%

Therefore, 16% percent (approx) of the students paid MORE than Jane.

Learn more about mean and standard deviation here brainly.com/question/4388715

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3 0

2 years ago

The area of the square

maria [59]

Answer:

length x width

Step-by-step explanation:

The formula for area of a square is A = lw

4 0

3 years ago

Read 2 more answers

Which describes the amount of product the customers want to buy?

FromTheMoon [43]

Answer:

Demand

Step-by-step explanation:

Supply is what the stores have and demand is what the customers want

3 0

3 years ago

Read 2 more answers

In the university library elevator there is a sign indicating a 16-person limit as well as a weight limit of 2750 pounds. Suppos

Alona [7]

Answer:

0.039 = 3.9% probability that the random sample of 16 people in the elevator will exceed the weight limit

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .