Answer:
Dividend expense will be $20000
Explanation:
We have given share used = 12000 shares
And Treasury stock = 2000 shares
It is given a regular dividend of $2 per share
We have to find the dividend stock
Outstanding share = Share used - treasury stock = 12000 - 2000 = 10000 shares
So dividend expense = $2×10000 = $20000
So dividend expense will be $20000
Answer:
$20,000
Explanation:
For computing the Doug withdrawal amount, first, we have to compute the net income or net loss which is shown below:
Net income/loss = Revenue - expense
= $350,000 - $380,000
= -$30,000
Now Doug share in net loss = Net loss × (his share ÷ total share)
= - $30,000 × (2 ÷ 6)
= - $10,000
We knew that the Doug capital is $30,000 and his share in loss is $10,000
So, its withdrawal amount = $30,000 - $10,000 = $20,000
Answer:
Explanation:
Productivity per unput dollar=Fees charged from clients/total cost to firm
There are 3 options:
1. Using current software:
Av time=40 min
Researcher's cost=$2 a min
Total cost=40*2=80
Productivity per dollar input=Fees charged from clients/total cost to firm= 400/80=$5
2.
Using company A's software
Av time=30min
Cost of reducing av time=$3.5
Researcher's cost=$2
Total =30*2+3.5=63.50
Productivity per dollar input=400/63.5=6.3
3.
Using company B's software
Av time = 28 min
Cost of reducing av time=$3.6
Researcher's cost=$2
Total cost=28*2+3.6=59.6
Productivity per dollar input=400/59.6=$6.71
Answer - Using company B's software
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning
Answer: blocking for gender
Explanation: Blocking refers to a experimental research procedure which involves splitting experimental variables into separate units. This speration is performed in other to avoid bias or effect this separately identified varibales may bring into our experiment if not tested separately. The blocks may be referred to as known categories upon which variables in an experiment may be divided such that treatment is applied to independently to the separate blocks or experimental unit. In the scenario above, the personnel director is blocking for gender by splitting the variables or participants based on gender.
