Does any body know how to find Late Payment in Mathematics.

2 balloons and 3 cakes cost $26.

mel-nik [20]

Answer:

The cost of one balloon is 4 dollars

the cost of one cake is 6 dollars

Step-by-step explanation:

The way I did it was by substituting different numbers and seeing if they equaled forty or 26.

my thought process:

1 balloon= 5

1 cake= 10

that doesnt work for 2 balloons and 3 cakes

1 balloon=5

1 cake=5

that works for 4 balloons and 4 cakes but not 2 balloons and 3 cakes

1 balloon=4

1 cake=7

I'm sorry I'm way too tired to finish this 0-0 anyways yeah that's the correct answer :)

7 0

3 years ago

A real estate purveyor purchases a 60{,}00060,00060, comma, 000 square foot \left(\text{ft}^2\right)(ft 2 )(, start text, f, t,

finlep [7]

Answer:

200 feet

Step-by-step explanation:

Area of the warehouse $=60,000$ ft^2$

Let the length of the warehouse=l

The warehouse's width is exactly $\dfrac23$ of its length

Therefore: Width of the warehouse $=\dfrac23l$

Area =Length X Width

Therefore:

$\dfrac23l*l=60000\\$Cross multiply\\2l^2=60000*3\\2l^2=180000\\$Divide both sides by 2\\2l^2 \div 2=180000 \div 2\\l^2=90000\\l^2=300^2\\$Length, l=300 feet\\Recall: Width =\dfrac23l\\$Therefore, Width of the warehouse=\dfrac23*300=200$ feet$

8 0

3 years ago

Hank used 410 stamps. There are 60 stamps in every 3 rolls. How many rolls did Hank use?

Sveta_85 [38]

Answer:

20 rolls

Step-by-step explanation:

there is 20 in each roll 410/20 is 20.8.

7 0

3 years ago

In your own words, explain the Normal Distribution and provide a real world example.

elena-14-01-66 [18.8K]

Answer:

The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:

Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

$X \sim N(\mu , \sigma)$

The two parameters are:

$\mu$ who represent the mean and is on the center of the distribution

$\sigma$ who represent the standard deviation

One particular case is the normal standard distribution denoted by:

$Z \sim N(0,1)$

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated

Step-by-step explanation:

The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:

Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

$X \sim N(\mu , \sigma)$

The two parameters are:

$\mu$ who represent the mean and is on the center of the distribution

$\sigma$ who represent the standard deviation

One particular case is the normal standard distribution denoted by:

$Z \sim N(0,1)$

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated

4 0

3 years ago

In ΔOPQ, the measure of ∠Q=90°, the measure of ∠O=76°, and OP = 7.3 feet. Find the length of PQ to the nearest tenth of a foot..

PSYCHO15rus [73]

Answer: 7.1 feet

Step-by-step explanation: I guessed lol

6 0

2 years ago

Does any body know how to find Late Payment in Mathematics.​

Does any body know how to find Late Payment in Mathematics.