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loris [4]
3 years ago
14

Its not a multiple choice :,)

Mathematics
1 answer:
Naily [24]3 years ago
7 0

Answer:

  1. this century is giving by Rishabh

Step-by-step explanation:

  • 20 right answer
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If you flip two coins 16 times, what is the best prediction possible for the number of times both coins will land on tails?
mr_godi [17]

Answer:

2×16

=32

Step-by-step explanation:

hope it helps..

8 0
3 years ago
If 1/2 cup of soup equals 120 milliliters, then how many milliliters are in 3 1/2 cups of soup?
pav-90 [236]
Ok. So since they give you that 1/2 cup of soup equals 120 milliliters it makes this very easy. So since we know 120milliliters=1/2 and that 3 1/2= 7 1/2s (please note that the 7  1/2s doesnt mean seven and 1/2 it means seven 1/2s) you just add 120 to itself 7 times getting an answer of 840. (please vote brainliest ^^)
8 0
3 years ago
Ioana wants to spend ¾ of an hour studying each subject. She has 3 hours to study. How many subjects can she study?
BaLLatris [955]

Answer:

  • 4 subjects

Step-by-step explanation:

<u>3 hours for studying x subjects:</u>

  • x*3/4 = 3
  • x = 3*4/3
  • x = 4
3 0
3 years ago
*20 Pts* What are two fractions with different denominators that each have the LCD of 36?
kkurt [141]
You can use the fractions 3/18 and 5/12.

Hope this helps :)
6 0
3 years ago
Read 2 more answers
A screening test for a certain disease is used in a large population of people of whom 1 in 1000 actually have the disease. Supp
sertanlavr [38]

Answer:

P(D/T)=5.05*10^{-6}

Step-by-step explanation:

Let's call D the event that a person has the disease, D' the event that a person doesn't have the disease and T the event that the person tests negative for the disease.

So, the probability P(D/T) that a randomly chosen person who tests negative for the disease actually has the disease is calculated as:

P(D/T) = P(D∩T)/P(T)

Where P(T) = P(D∩T) + P(D'∩T)

So, the probability P(D∩T) that a person has the disease and the person tests negative for the disease is equal to:

P(D∩T) = (1/1000)*(0.005) = 0.000005

Because 1/1000 is the probability that the person has the disease and 0.005 is the probability that the person tests negative given that the person has the disease.

At the same way, the probability P(D'∩T) that a person doesn't have the disease and the person tests negative for the disease is equal to:

P(D'∩T) = (999/1000)*(0.99) = 0.98901

Finally, P(T) and P(D/T) are equal to:

P(T) = 0.000005 + 0.98901 = 0.989015

P(D/T) = 0.000005/0.989015 = 5.05*10^{-6}

8 0
3 years ago
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