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Evgen [1.6K]
3 years ago
9

Matt reasoned that he can write 9/1,000 as 0.9. Is he correct? Explain your answer.

Mathematics
1 answer:
GuDViN [60]3 years ago
5 0
No because 9/1,000 in decimals would be 0.009 because if the number was a 3 number then it would go in the tenths
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1). 21 is what percent of 168. 4) what number is 62 percent of 50
malfutka [58]

1) 21 is 12.50% of 168.

2) 4% of 150 is 6.

3) 1% of 500 is 5.

4) 62% of 50 is 31.

5) 15% of 15 is 2.25

6) 40 percent of 25 is 10.

Step-by-step explanation:

1). 21 is what percent of 168.

Let,

x be the percent.

Therefore,

x% of 168 = 21

\frac{x}{100}*168=21

1.68x=21

Dividing both sides by 1.68

\frac{1.68x}{1.68}=\frac{21}{1.68}\\x=12.50

21 is 12.50% of 168.

2). What is 4 percent of 150.

4% of 150 = \frac{4}{100}*150

4% of 150 = \frac{600}{100} = 6

4% of 150 is 6.

3) 1 percent of 500 is what number

1% of 500 = \frac{1}{100}*500

1% of 500 is 5.

4) what number is 62 percent of 50

62% of 50 = \frac{62}{100}*50

62% of 50 = 0.62*50=31

62% of 50 is 31.

5) 15 percent of 15 is what

15% of 15 = \frac{15}{100}*15

15% of 15 = \frac{225}{100}=2.25

15% of 15 is 2.25

6) 40 percent of 25 is what number

40% of 25 = \frac{40}{100}*25

40% of 25 = \frac{1000}{100}=10

40 percent of 25 is 10.

Keywords: percentage

Learn more about percentage at:

  • brainly.com/question/10081622
  • brainly.com/question/10341324

#LearnwithBrainly

4 0
4 years ago
Jamir buys a Snickers bar that weighs 16.5 ounces. He takes 6 bites. How many ounces are in each bite?
san4es73 [151]

Answer:

16.5/6 is 2.75 soooo 2.75 ounces every bite!

Step-by-step explanation:

8 0
3 years ago
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25.01 let me know if I’m right!
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Question 3 of 10
Darina [25.2K]
I believe ur answer is F
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Brainlist answer!!Can I get some help with this, please!!
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B) This sample size may not portray the entire population of users because the positive results may have been fabricated by factors other than cell phone use. You would have to figure out the population size and determine the correct sample size. 

C) This study may not portray cell phone use correlation over a large population efficiently because of the sample size and the predetermined conclusion that cell phone use causes cancer. 
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