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Alex_Xolod [135]
3 years ago
12

5.6÷7=8 is it a reasonable quotient

Mathematics
1 answer:
Licemer1 [7]3 years ago
6 0

5x6=30

30/7=4.393939349958

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I need e-learning help ugh ... ASAP
miskamm [114]

Answer:

600 m

Step-by-step explanation:

You know that she walks 1 meter in 1 second, but they're asking about minutes. Since 60 seconds are in 1 minute, it means she was 60 meters in 1 minute. Then multiply that by 10 (10 minutes).

She walked 600 meters, in 10 minutes.

I hope this helped!

5 0
3 years ago
If 1 day equals 1 hour, what does 1 year equal?
Akimi4 [234]

1 day = 1 hour

1 year = 365 days

365 x 1 = 365

= 365 hours

3 0
3 years ago
Read 2 more answers
Eleven less than 5 times a number is 24
aleksandrvk [35]
Algebraically, that would be 5n - 11 = 24
6 0
3 years ago
Please answer this question!
natita [175]
V = πr²h
V = (3.14)(5)²(16)
V = (3.14)(25)(16)
V = 1256

Hope this helps :)
3 0
4 years ago
Consider the probabilities of people taking pregnancy tests. Assume that the true probability of pregnancy for all people who ta
Valentin [98]

Using conditional probability, it is found that there is a 0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

<h3>What is Conditional Probability?</h3>

Conditional probability is the probability of one event happening, considering a previous event. The formula is:

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem, the events are:

  • Event A: Positive test result.
  • Event B: Pregnant.

The probability of a positive test result is composed by:

  • 99% of 10%(truly pregnant).
  • 2% of 90%(not pregnant).

Hence:

P(A) = 0.99(0.1) + 0.02(0.9) = 0.117

The probability of both a positive test result and pregnancy is:

P(A \cap B) = 0.99(0.1)

Hence, the conditional probability is:

P(B|A) = \frac{0.99(0.1)}{0.117} = 0.8462

0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

You can learn more about conditional probability at brainly.com/question/14398287

7 0
2 years ago
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