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vitfil [10]
4 years ago
10

At a certain college, the probability that a student attends full-time is 0.320 and the probability that the student attends par

t-time is 0.680. At the same college, the probability that a student receives financial aid is 0.570 while the probability that a student does not receive financial aid is 0.430. If a student is randomly selected, what is the probability that the student attends full-time and does not receive financial aid?
Mathematics
1 answer:
IRISSAK [1]4 years ago
3 0
Sorry i really don't know the answer.......................................................
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Becky needs to put 4 cups of flour into her bread maker to make one loaf of bread. She is using a measuring cup that holds 13 cu
pav-90 [236]

Answer:

12

Step-by-step explanation:

From the above question, we ate told that:

Becky needs to put 4 cups of flour into her bread maker to make one loaf of bread.

The size of her measuring cup = 1/3 cup

The number of 1/3 cups of flour she will need to make a loaf of bread is calculated as:

4 cups of flour ÷ 1/3 cup of flour

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4 0
3 years ago
The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees. If we want to be 90% c
siniylev [52]

Answer:

19 beers must be sampled.

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.9}{2} = 0.05

Now, we have to find z in the Z-table as such z has a p-value of 1 - \alpha.

That is z with a pvalue of 1 - 0.05 = 0.95, so Z = 1.645.

Now, find the margin of error M as such

M = z\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees.

This means that \sigma = 0.26

If we want to be 90% confident that the sample mean beer temperature is within 0.1 degrees of the true mean temperature, how many beers must we sample?

This is n for which M = 0.1. So

M = z\frac{\sigma}{\sqrt{n}}

0.1 = 1.645\frac{0.26}{\sqrt{n}}

0.1\sqrt{n} = 1.645*0.26

\sqrt{n} = \frac{1.645*0.26}{0.1}

(\sqrt{n})^2 = (\frac{1.645*0.26}{0.1})^2

n = 18.3

Rounding up:

19 beers must be sampled.

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Answer:

A.)

Step-by-step explanation:

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What is the rule for the following sequence of numbers: 2, 7, 17, 37, ?
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The rule is "add 5, add 10, add 20" and the rule keeps doubling.

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