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goldenfox [79]
3 years ago
13

2.1 liters of coffee were equally distributed to 30 cups how many millimeters of coffee were in each cup

Mathematics
2 answers:
alisha [4.7K]3 years ago
7 0

There are 70 millimeters of coffee in each cup

  • Total of amount of liters of coffee = 2.1 liters
<h2>Further Explanation</h2><h3><u>Step 1 </u></h3>

Recall, 1 liter = 1000 millimeters  

Therefore to convert 2.1 liter to millimeter, you have:

= \frac{2.1}{1000}

= 2100

Hence,

Total amount of liters of coffee = 2100 millimeters

<h3><u>Step 2 </u></h3>

Total amount of available cups = 30 cups

To determine how many millimeters of coffee are there in each cup, the total of amount of liters of coffee (2100 millimeters) will be divided by the total amount of available cups (30) i.e. 2100 ÷ 30

Therefore,

= 2100 ÷ 30

= \frac{2100}{30}

= 70

Thus, the total amount of coffee in each cup is 70 millimeters

The above mathematical problem is a typical number problem, and it was solved by using a mathematical method, notably, Division.

Division is the process of dividing or splitting numerous significant figures to derive an efficient equal parts or groups.

Furthermore, division is a function of BODMAS, which means, Brackets, Order, Division, Multiplication, Addition, Subtraction.

LEARN MORE:

  • 2.1 liters of coffee were equally distributed to 30 cups. How many milliliters of coffee were in each cup brainly.com/question/872847
  • 91 square foot bathroom has a length brainly.com/question/837422

KEYWORDS:

  • 2.1 liters of coffee
  • 30 cups
  • millimeters of coffee
  • bodmas
  • dividing
sattari [20]3 years ago
4 0

Answer: 70 ml of coffee in each cup


Step-by-step explanation:

1 liter = 1000 ml

Amount of coffee given = <em>2.1 liters</em>

\Rightarrow <em>2.1 liters =  2.1 * 1000 = 2100 ml</em>

Total number of cups = 30

\therefore Amount of coffee in each cup = \frac{Total\ amount \ of \ coffee}{number\ of  \ cups} = \frac{2100}{30} =70

<em>∵ Amount of coffee in each cup </em>= <u>70 milliliters</u>

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Answer:

1) As the P-value (0.097) is greater than the significance level (0.05), the effect is  not significant.

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