Please help me i need help :/

Mathematics

1 answer:

posledela3 years ago

3 0

Answer:

A is perpendicular with C, but NOT B. B is also perpendicular but not with A.

Step-by-step explanation:

Lines have to form a 90 degree angle with another line to be perpendicular, and you can use that judgement to figure out which one is perpendicular.

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HELPPPPP ITS DUE TODAY

siniylev [52]

Answer:

1) just make an equation (answer below)

SO the new bottle is 30 ounces

The old bottle was 25 percent more then the new one

So we can just find 25 percent of 30

And add it

That is the most simple way but I would just do

30*1.25 Its the same thing but if you think a bout ti, the new bottle can Only hold 30 ounces, 30 ounces is 100 percent of the new bottle, if you multiply 1.25 its adding 25 percent so it Turns a 2 step into a 1 step.

1.25*30=37.5

The larger bottle was 37.5 ounces

6 0

3 years ago

PLEASE helpp me in my homework plsssssss

7nadin3 [17]

No, she will not have enough. If you estimate the amount of money it will cost for the turkey sandwich and the large drink, it will cost about $7. She will only have $6.25 after admission costs.

3 0

3 years ago

A leaky faucet is losing water and is filling a 8-gallon bucket every 25 hours.At this rate,how many gallons of water will the f

Angelina_Jolie [31]

The rate of 8 gallons every 25 hours means that the faucet fills $\frac{8}{25}$ gallons every hour.

Multiply the unit rate for the number of hours you're interested in to find

$\dfrac{8}{25}\cdot 13 = \dfrac{104}{25}$

6 0

3 years ago

According to a study conducted in one city, 39% of adults in the city have credit card debts of more than $2000. A simple random

Butoxors [25]

Answer:

The sampling distribution of the sample proportion of adults who have credit card debts of more than $2000 is approximately normally distributed with mean $\mu = 0.39$ and standard deviation $s = 0.0488$

Step-by-step explanation:

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

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$