(01.03)

Mathematics

1 answer:

pochemuha2 years ago

6 0

3. if you buy 2 you will be down 4 cups. but if you buy 3 you will go over so the answer is 3

You might be interested in

The mean student loan debt for college graduates in Illinois is $30000 with a standard deviation of $9000. Suppose a random samp

Nataly [62]

Answer:

the probability that the mean student loan debt for these people is between $31000 and $33000 is 0.1331

Step-by-step explanation:

Given that:

Mean = 30000

Standard deviation = 9000

sample size = 100

The probability that the mean student loan debt for these people is between $31000 and $33000 can be computed as:

$P(31000 < X < 33000) = P( X \leq 33000) - P (X \leq 31000)$

$P(31000 < X < 33000) = P( \dfrac{X - 30000}{\dfrac{\sigma}{\sqrt{n}}} \leq \dfrac{33000 - 30000}{\dfrac{9000}{\sqrt{100}}} )- P( \dfrac{X - 30000}{\dfrac{\sigma}{\sqrt{n}}} \leq \dfrac{31000 - 30000}{\dfrac{9000}{\sqrt{100}}} )$

$P(31000 < X < 33000) = P( Z \leq \dfrac{33000 - 30000}{\dfrac{9000}{\sqrt{100}}} )- P(Z \leq \dfrac{31000 - 30000}{\dfrac{9000}{\sqrt{100}}} )$

$P(31000 < X < 33000) = P( Z \leq \dfrac{3000}{\dfrac{9000}{10}}}) -P(Z \leq \dfrac{1000}{\dfrac{9000}{10}}})$

$P(31000 < X < 33000) = P( Z \leq 3.33)-P(Z \leq 1.11})$

From Z tables:

$P(31000 < X$

Therefore; the probability that the mean student loan debt for these people is between $31000 and $33000 is 0.1331

8 0

2 years ago

in 4.5 hours, 11.25 inches of snow fell suppose the same amount of snow fell each hour how much snow fell each hour

Julli [10]

If 11.25 inches snow fell in 4.5hrs,
Then for each hr how much snow fell?

So,
4.5 : 11.25
To find how many inches that fell per hour who would need to divide the number of inches by the numbers of hours

11.25 divided by 4.5 = 2.5

So the answer would be 2.5 inch was of snow per hour

6 0

3 years ago

What is 4 1/3 minus 3 2/3?

djyliett [7]

Answer:

Sale 2/3

Step-by-step explanation:

6 0

2 years ago

Read 2 more answers

Which is the leastt common multiple for 3 and 9

postnew [5]