Answer:
1 7/8 cups leftover
Step-by-step explanation:
The total amt. of sugar Suze needs is 5(1 1/2 cups) = 15/2 cups, or 7.5 cups.
Combining the 3 1/4 and 6 1/8 cups of sugar remaining in the bag results in 3 2/8 + 6 1/8 cups, or 9 3/8 cups total. She needs only 7.5 cups of this sugar.
Thus, she has leftover the following amount: 9 3/8 - 7 4/8 cups, which
simplifies to 1 7/8 cups
Answer:
Please check the explanation.
Step-by-step explanation:
To find the amount we use the formula:

Here:
A = total amount
P = principal or amount of money deposited,
r = annual interest rate
n = number of times compounded per year
t = time in years
Given
P=$2000
r=4.5%
n=4
t = 5 years
<em />
<u><em>Calculating compounded quarterly
</em></u>
After plugging in the values




Thus, If you deposit $2000 into an account paying 4.5% annual interest compounded quarterly, you will have $2501.50 after five years.
<u><em>Calculating compounded semi-annually</em></u>
n = 2




Thus, If you deposit $2000 into an account paying 4.5% annual interest compounded semi-annually, you will have $2,498.41 after five years.
The answer is D) 2
Since it is given that there have been 9 slices eaten, we can assume that whatever amount of slices were cut in total will have 9 reduced from the amount. With the fraction 2/11, we know 11-9=2, which fits perfectly into this description so 2 slices have not been eaten.
Answer:

And the standard error is given by:

And replacing we got:
![SE_[p]= \sqrt{\frac{0.06*(1-0.06)}{373}}= 0.0123](https://tex.z-dn.net/?f=%20SE_%5Bp%5D%3D%20%5Csqrt%7B%5Cfrac%7B0.06%2A%281-0.06%29%7D%7B373%7D%7D%3D%200.0123)
And we want to find this probability:

We can calculate the z score for this case and we got:

And using the normal distribution table or excel we got:

Step-by-step explanation:
Previous concepts
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
Solution to the problem
For this case we can find the mean and standard error for the sample proportion with these formulas:

And the standard error is given by:

And replacing we got:
![SE_[p]= \sqrt{\frac{0.06*(1-0.06)}{373}}= 0.0123](https://tex.z-dn.net/?f=%20SE_%5Bp%5D%3D%20%5Csqrt%7B%5Cfrac%7B0.06%2A%281-0.06%29%7D%7B373%7D%7D%3D%200.0123)
And we want to find this probability:

We can calculate the z score for this case and we got:

And using the normal distribution table or excel we got:
