Answer:
Statement of retained earnings
For the year ended 2017
Retained earnings, January 1, 2017 $0
Add: Net Income $54,000
Less: Dividends $<u>22,000</u>
Retained earnings, December 31, 2017 <u>$32,000</u>
Statement of retained earnings
For the year ended 2018
Retained earnings, January 1, 2018 $0
Add: Net Income $59,000
Less: Dividends <u>$34,000</u>
Retained earnings, December 31, 2018 <u>$25,000</u>
Answer: 27.28 units
Explanation:
From the question, we are told that a company wants to determine its reorder point (R) and that demand is variable and they want to build a safety stock into R. We have also been given the information that the company wants to have a service level of 95 percent and that average daily demand is 8, lead time is 3 days and the standard deviation of demand during lead time is 2.
It should be noted that a service level of 95% will have a desired z score of 1.64. To get the desired value of R, we multiply the average daily demand by the number of the days in lead time and then add to the multiplication between the standard deviation during the lead time and the desired z score. Mathematically, this will be expressed as:
= (8 × 3) + (2 × 1.64)
= 24 + 3.28
= 27.28
Therefore, the desired value of R = 27.28 units
Answer:
D. the people were inadequately trained on how to use the new system
<u>Missing information:</u>
A. the network cannot support the data transmissions
B. the software is full of errors
C. the software performs the wrong tasks
D. the people were inadequately trained on how to use the new system
E. the hardware is not functional
Explanation:
Assuming the provider of the software act in well-being and provides a functional software that will not crash every time is used (E) and (B)
The most probable reason is that people didn't understand the new interface, mechanics or features of the new system thus, performing below expected as they may though their productivity was going to increase while in fact it decrease or the daily task are now more harded to complete
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
Answer:
The Beta is 1
The required return increases to 13%
Explanation:
The formula for required return is given below:
Required Return = Risk-Free Rate of Return + β(Market Return – Risk-Free Rate of Return)
required return is 11%
risk-free rate of return=7%
Beta is unknown
market return-risk free rate of return is market risk premium is 4%
11%=7%+beta(4%)
11%-7%=beta*4%
4%=beta*4%
beta=4%/4%
beta=1
If the market risk premium increased to 6%,required return is calculated thus:
required return=7%+1(6%)
required return =13%
This implies that the riskier the stock, the higher the market risk premium, the higher the required return to investors.
