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2 years ago

10.6 written as a decimal and a fraction or a mixed number in simplest form

1 answer:

6 0

$10.6 \times \frac{10}{10} = \frac{106}{100} = \frac{53 \times 2}{50\times 2} \\\\ = \frac{53}{50} = \boxed{\bf{1 \frac{3}{50}}}$

and 10.6 is already written as a decimal.

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How many times does 6 go into 48

den301095 [7]

$48/6=8$

$8*6=48$

$6*8=48$

$48/6=8$

Final answer: ⇒ $\boxed{=8}$

Hope this helps!

And thank you for posting your question at here on brainly, and have a great day.

-Charlie

3 0

2 years ago

Read 2 more answers

39.98× 0.5 is approximately equal to

avanturin [10]

Answer:

Step-by-step explanation:

it equals 19.99 but if you round it equals to 20

8 0

2 years ago

Can you guys help me? The questions is... A soccer team eats lunch at a restaurant on the way to a tournament total cost of the

mr Goodwill [35]

Answer: The tip left for the servers was $14.80

Step-by-step explanation:

Hi, to answer this question we have to analyze the information given:

<em>Total cost of the food (before tax) = $82.25 </em>
<em>Tip = 18% of the amount before the tax </em>

So, to calculate the tip we have to multiply the cost of the food before tax ($82.25) by the 0.18 (percentage in decimal form, 18/100= 0.18).

Mathematically speaking:

82.25 x 0.18 = $14.80

The tip left for the servers was $14.80

3 0

2 years ago

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Helene spends 3%of her budget on transportation expenses. Enter this percent as a

Vesnalui [34]

3% as a decimal is 0.03 and I think 3% as a fraction in simplest form is 3/100

8 0

2 years ago

An electronic product contains 48 integrated circuits. The probability that any integrated circuit is defective is 0.01, and the

BigorU [14]

Answer:

0.6173 = 61.73% probability that the product operates.

Step-by-step explanation:

For each integrated circuit, there are only two possible outcomes. Either they are defective, or they are not. The integrated circuits are independent. This means that we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$