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3 years ago

7

Mario is making dinner for 9 people. Mario buys 6 containers of soup. Each container is 18 ounces. If everyone gets the same amo

unt of soup, how much soup will each person get? How can you solve a simpler problem to help you find the soulution?

1 answer:

svp [43]3 years ago

8 0

Everyone would get 162 ounces. God bless y'all

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Can someone help me please 100 Points!!

DENIUS [597]

Answer: Idk but i really need the points :(

Step-by-step explanation:

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3 years ago

Read 2 more answers

I need help with this I got -10 is it right??

Dahasolnce [82]

Answer:

-14

Step-by-step explanation:

difference between -20 and -5 = 15

15 x 2/5 = 30/5 = 6

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3 years ago

If you know the names of the remaining nine students in the spelling bee, what is the probability of randomly selecting an orde

rjkz [21]

The probability of getting the correct order in the spelling bee is 1 chance in 362,880.

This is a permutation problem. Our goals is to find the total number of ways that the 9 students can be ordered.

For the first spot there are 9 choices, then 8 choices, then 7 choices....

We need to evaluate:
9 x 8 x 7 x 6 x 5 x 4 x 3 x 2 x 1 = 362,880

Another way to write this is: 9!

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3 years ago

What is an example of when you would want consistent data and, therefore, a small standard deviation?

steposvetlana [31]

Answer:

12.1, 12.3,12.4,12.5,12.3,12.1,12.2

$\bar X= \frac{12.1+12.3+12.4+12.5+12.3+12.1+12.2}{7}=12.271$

And for the standard deviation we can use the following formula:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And after replace we got:

$s = 0.1496$

And as we can ee we got a small value for the deviation <1 on this case.

Step-by-step explanation:

For example if we have the following data:

12.1, 12.3,12.4,12.5,12.3,12.1,12.2

We see that the data are similar for all the observations so we would expect a small standard deviation

If we calculate the sample mean we can use the following formula:

$\bar X=\frac{\sum_{i=1}^n X_i}{n}$

And replacing we got:

$\bar X= \frac{12.1+12.3+12.4+12.5+12.3+12.1+12.2}{7}=12.271$

And for the standard deviation we can use the following formula:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And after replace we got:

$s = 0.1496$

And as we can ee we got a small value for the deviation <1 on this case.

8 0

3 years ago

How many 1/100 are in 3/10

RUDIKE [14]

<span>How many 1/100 are in 3/10

multiply by 10 for both numerator and denominator
3/10 = 30/100

Ans: 30

So that there are 30 1/100 in 3/10</span>

6 0

4 years ago