36(pi) cubed divides by (pi) 3 squared

Karen gaines invested $15,000 in a money market account with an interest rate of 2.25% compounded semiannually. Five years later

fredd [130]

Answer:

years later , karen withdrew the full amount to put toward the down payment on a new house. How much did she withdraw? ... gaines invested $15,000 in a money market account with an interest rate of 2.75% compounded semiannually. ... Median response time is 34 minutes and may be longer for new subjects.

6 0

3 years ago

)Of the people in the theater, 5% have seen the movie before. If there are 8 people who have seen the movie before, how many peo

kakasveta [241]

Answer: 160

Step-by-step explanation: 5% of x = 8

In other words, x * 0.05 = 8. To find what x is, we need to work backwards.

x * 0.05 = 8

x = 8/0.05

x = 160

Would appreciate a brainly <3

3 0

2 years ago

HELP Find the circumference of this circle using 3 for T. C [?]

olga2289 [7]

Answer:

3

Step-by-step explanation:

3

8 0

2 years ago

Read 2 more answers

Aaron, Bonny and Connor are playing a game with cards.

professor190 [17]

Let the number of cards Aaron has : A

Given :

⊕ Bonny has twice as many cards as Aaron

⊕ Connor has 6 cards more than Bonny

⊕ Total cards : 101

⇒ Number of cards Bonny has : 2A

⇒ Number of cards Connor has : 2A + 6

⇒ Aaron cards + Bonny cards + Connor cards = 101

⇒ A + 2A + 2A + 6 = 101

⇒ 5A = 101 - 6

⇒ 5A = 95

⇒ A = 19

Answer : Aaron has 19 Cards

6 0

3 years ago

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 $s = \frac{\sigma}{\sqrt{n}}$ .