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AfilCa [17]
4 years ago
6

Terry ate 1/4 of a giant cookie. Cami and Rene each ate 1/2 of what was left over l. What fraction of the cookie did Cami eat?

Mathematics
2 answers:
UNO [17]4 years ago
4 0
3/8. After terry, 3/4 was left and half of 3/4 is 3/8
Feliz [49]4 years ago
4 0
Cami ate 3/8 of the cookie.
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Convert 120 lbs to kilograms. (1 kg = 2.2 lbs)
STatiana [176]

Answer:

54.4

Step-by-step explanation:

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carbon-14 is an element that loses about 10% of its mass every millennium (i.e., 1000 years). A sample of carbon-14 has 600 gram
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Answer please will make first answer brainliest
galina1969 [7]

Answer:

The last one: 70/100 = x/80

And 56 free throws.

Explanation:

70% is 70 out of 100. And if the player is free throwing a total of 80 times, then 80 is 100% of the free throws. Both of the values that represent 100% are the denominators in the fractions.

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8 0
3 years ago
It is reported that 25% of the flights arriving at the Washington Dulles airport in January 2008 were late. Assume the populatio
lawyer [7]

Answer:

P(0.22

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

For this case the standard error is given by:

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Solution to the problem

For this case we want to find the probability that the sample proportion will be within +-.03 of the population proportion like this:

P(0.25-0.03 < p< 0.25+0.03) =P (0.22

And for this case we can use the following z score:

z = \frac{\hat p - p}{SE_{p}}

And using this formula we got:

P(0.22

And we can find this probability like this:

P(-1.732

8 0
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