Answer:
sales ; average accounts receivables
Explanation:
Accounts receivable turnover refers to how a business firm manage its assets. Businesses, companies uses accounts receivables to know and quantify how perfectly goods bought on credit by their customers are being paid back. It also measures how business gives credit and collects back it's debt .It is calculated as net sales divided by average accounts receivables.
Answer:
Sample size is 16
Mean 4
Standard deviation of the sample is 0.3.
Explanation
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, a large sample size can be approximated to a normal distribution with mean
and standard deviation
.
In this problem, we have that:
The population has a mean of four hours, with a standard deviation of 1.2 hours. The sample is the 16 of the employees.
So
The sample size is 16, so ![n = 16](https://tex.z-dn.net/?f=n%20%3D%2016)
The mean of the sample is the same as the population mean, so
.
The standard deviation of the sample is ![s = \frac{\sigma}{\sqrt{n}} = \frac{1.2}{4} = 0.3](https://tex.z-dn.net/?f=s%20%3D%20%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%20%3D%20%5Cfrac%7B1.2%7D%7B4%7D%20%3D%200.3)
Answer:
December 31 Interest expense $3900 Dr
Interest Payable $3900 Cr
Explanation:
The interest and principal is both payable at maturity thus we need to accrue the interest payment and create a liability against the amount of interest due. The adjustment is made 6 months from the issue of the note thus the interest for 6 months is due. The entry would be to record 6 month's interest that relates to this year. The interest expense will be,
120000 * 0.065 * 6/12 = $3900
As the payment is not made until maturity we will credit interest payable by this amount.
Answer:
Following are the response to the given question:
Explanation:
For question 1:
The weighted average of each return is the expected return.
![Expected\ return = 0.1 \times -0.22 + 0.2 \times -0.12 + 0.3 \times 0.17 + 0.2 \times 0.33 + 0.2 \times 0.56 \\\\](https://tex.z-dn.net/?f=Expected%5C%20return%20%3D%200.1%20%5Ctimes%20-0.22%20%2B%200.2%20%5Ctimes%20-0.12%20%2B%200.3%20%5Ctimes%20%200.17%20%2B%200.2%20%5Ctimes%20%200.33%20%2B%200.2%20%5Ctimes%20%200.56%20%5C%5C%5C%5C)
![= 0.1830 \\\\= 18.30\%](https://tex.z-dn.net/?f=%3D%200.1830%20%5C%5C%5C%5C%3D%2018.30%5C%25)
For question 2:
Standard deviation is a measured source of the square deviations from the mean via probability.
![Std \ dev = [0.1 \times (0.183-(-0.22))^2 + 0.2 \times (0.183-(-0.12))^2 + 0.3\times(0.183-0.17)^2 + 0.2\times (0.183-0.33)^2 + 0.2\times (0.183-0.56)^2]^{(\frac{1}{2})}\\\\](https://tex.z-dn.net/?f=Std%20%5C%20dev%20%3D%20%5B0.1%20%5Ctimes%20%280.183-%28-0.22%29%29%5E2%20%2B%200.2%20%5Ctimes%20%280.183-%28-0.12%29%29%5E2%20%2B%200.3%5Ctimes%280.183-0.17%29%5E2%20%2B%200.2%5Ctimes%20%280.183-0.33%29%5E2%20%2B%200.2%5Ctimes%20%280.183-0.56%29%5E2%5D%5E%7B%28%5Cfrac%7B1%7D%7B2%7D%29%7D%5C%5C%5C%5C)
![= 0.2596 \\\\= 25.96\%](https://tex.z-dn.net/?f=%3D%200.2596%20%5C%5C%5C%5C%3D%2025.96%5C%25)
For question 3:
For point a:
![\text{Coefficient of variation} = \frac{std \ dev}{expected\ return} \\\\](https://tex.z-dn.net/?f=%5Ctext%7BCoefficient%20of%20variation%7D%20%3D%20%5Cfrac%7Bstd%20%5C%20dev%7D%7Bexpected%5C%20return%7D%20%5C%5C%5C%5C)
![=\frac{0.2596}{0.183} \\\\= 1.42](https://tex.z-dn.net/?f=%3D%5Cfrac%7B0.2596%7D%7B0.183%7D%20%5C%5C%5C%5C%3D%201.42)
For point b:
As per the CAPM:
In Option I:
When the beta of the stock exceeds 1.0, the change in the required rate of return must be higher than the increase in the premium of market risk. Beta is the degree to which stock return changes as market returns change.
![\text{Required return = risk free rate + beta}\times \text{market risk premium}](https://tex.z-dn.net/?f=%5Ctext%7BRequired%20return%20%3D%20risk%20free%20rate%20%2B%20beta%7D%5Ctimes%20%5Ctext%7Bmarket%20risk%20premium%7D)
Explanation:
COPRA helps consumer very much in marketing work. ... Under this act people are very happy beause this act tell the people the right rate of the items, and all things which helps in consumer to protect them from high market price,fake prices of items,etc.