In a database context, a form is a window or screen that contains numerous fields, or spaces to enter data. Each field holds a field label so that any user who views the form gets an idea of its contents. A form is more user friendly than generating queries to create tables and insert data into fields.
Answer:
The person is NOT spending her income for both goods in a manner that maximizes her satisfaction.
Explanation:
Based on the information given The person is NOT spending her income for both goods in a manner that maximizes her satisfaction which means that she would have to INCREASE baseball games consumption and DECREASE movies consumption reason been that we were told that an individual enjoys going to baseball game three times compare to seeing new movie which therefore means The price of the ticket for a baseball game which is the amount of $30 should be increase while the price of a ticket for a movie which is the amount of $15 should be decrease.
Answer:
Explanation:
The journal entries are shown below:
On January 31
Allowance for doubtful accounts A/c Dr $800
To Account receivable A/c $800
(Being the written off amount is recorded)
On January 31
Account receivable A/c Dr $300
To Allowance for doubtful accounts A/c $300
(Being the reverse entry is made)
On March 9
Cash A/c Dr $300
To Accounts receivable A/c $300
(Being the amount is collected)
Answer:
a. $6468
Explanation:
Calculation for the amount of the check
Based on the information given we were told that Oriole Company sells merchandise on account for the amount of $7800 to Sunland Company with credit terms of 2/13, n/30 in which Sunland Company returns the amount of $1200 of merchandise that was damaged which means that the amount of the check will be calculated as:
Amount of the check=[($7,800 - $1,200) *(100%-2%) ]
Amount of the check=$6,600*0.98
Amount of the check=$6,468
Therefore the Amount of the check will be $6,468
Answer:
6.11%
Explanation:
For computing the variance, first we have to determine the expected return which is shown below:
= (Expected return of the boom × weightage of boom) + (expected return of the normal economy × weightage of normal economy) + (expected return of the recession × weightage of recession)
= (12% × 5%) + (10% × 85%) + (2% × 10%)
= 0.6% + 8.5% + 0.2%
= 9.30%
Now the variance would equal to the
= Weightage × (Return - Expected Return) ^2
For boom:
= 5% × (12% - 9.3%) ^2
= 0.3645
For normal economy:
= 85% × (10% - 9.3%) ^2
= 0.4165
For recession:
= 10% × (2% - 9.3%) ^2
= 5.329
So, the total variance would be
= 0.3645 + 0.4165 + 5.329
= 6.11%
