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irakobra [83]
2 years ago
15

A sample of a radioactive isotope had an initial mass of 700 mg in the year 1991 and decays exponentially over time. A measureme

nt in the year 1996 found that the sample's mass had decayed to 210 mg. What would be the expected mass of the sample in the year 2003, to the nearest whole number?
Mathematics
1 answer:
zvonat [6]2 years ago
6 0

Answer: 678

Step-by-step explanation:

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Will ran 3.23 km the first week and 4.15 km the second week. Chuck ran 8.75 km in two weeks.
Lostsunrise [7]
Will ran 3.23 + 4.15 = 7.38 in those 2 weeks, which rounds up to 7.4 km.
Chuck ran 8.75, which rounds to 8.8.

8.8 - 7.4 = 1.4 km
This means that Chuck ran 1.4 km more than Will, therefore the answer is D. about 1.4 km.

Hope this helps :)
6 0
3 years ago
Read 2 more answers
The table shows the rate at which water is being pumped into a swimming pool. Use the unit rate and the amount of water pumped a
Blizzard [7]

Answer:

an additional 60 gallons will be pumped in and a total of 348

Step-by-step explanation:

8 0
2 years ago
Alguien me ayuda en esto
guajiro [1.7K]

Answer:

diagrama c

Step-by-step explanation:

5 0
3 years ago
How much in Federal taxes does Curtis annually pay?
Anika [276]

he pays 29.59 a week

 multiply that by 52 weeks in a year

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7 0
3 years ago
Suppose the life of a particular brand of laptop battery is normally distributed with a mean of 8 hours and a standard deviation
Leto [7]

Answer: 0.0478

Step-by-step explanation:

Given : The life of a particular brand of laptop battery is normally distributed with a mean of 8 hours and a standard deviation of 0.6 hours.

i.e. \mu=8

\sigma=0.6

Let x be the random variable that represents the life of a particular brand of laptop battery.

Then , the probability that the battery will last more than 9 hours before running out of power will be :-

P(x>9)=P(z>\dfrac{9-8}{0.6})  [∵ z=\dfrac{x-\mu}{\sigma}]

=P(z>1.6667)=1-P(z\leq1.6667)   [∵ P(Z>z)=1-P(Z≤z)]

=1-0.9522=0.0478 [using P-value table for z]

Hence, the probability that the battery will last more than 9 hours before running out of power = 0.0478

5 0
3 years ago
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