Answer:
The item would be included in the bank reconciliation as an addition to the balance as per the records of the company.
Explanation:
Bank reconciliation is the procedure in which the balances of the entity accounting records for a cash account to the corresponding information on a bank statement is matched.
In this case, as the check is drawn by the company which means that the same amount is to be deducted from the company books but the amount of $430 got deducted which is a wrong amount as the actual amount is $340, so the amount to be added back to the balance as per company records.
Answer: D)
Explanation: These are statements that are missing.
A. IF a person looks over 21, they likely are.
B. Few minors have physical characteristics of an adult.
C. if a person looks like a minor, they likely are a minor.
D. signs of physical maturity are a reliable guide.
If the person is having looks like they are 21 year old, physical characteristics or looking like a minor but not having an ID card that is showing that they are having physical maturity, 21 years or more, they cannot buy an alcohol because that is against the law and the law is referring to that everyone who is buying it has to be at least 21 years old.
Answer:
d. 4%.
Explanation:
The computation is shown below;
We know that
Expected stock return = Risk free rate + Beta × Market risk premium
So,
Expected stock return X is
= 2% + 1.4 × 5%
= 9%
And,
Expected stock return Y is
= 2% +.8 × 5%
= 6%
Now
Expected Portfolio return Y and risk free asset is
= Weight stock y × return Y + Weight risk-free asset × Return risk-free asset
= .5 × 6% + .5 × 2%
= 4%
Answer:
The correct answer is c) neural network .
Explanation:
Neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
Each neuron is connected to others through links. In these links the output value of the previous neuron is multiplied by a weight value. These weights in the bonds can increase or inhibit the activation state of adjacent neurons. Similarly, at the exit of the neuron, there may be a limiting function or threshold, which modifies the result value or imposes a limit that must be exceeded before spreading to another neuron. This function is known as the activation function. Artificial neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
