Given:
July 1 borrowed money from eight national bank on 8-month, 40,000, 5% note.
Interest and principal is all due on February 28
No journal entries were made.
Recognizing cash and notes payable.
Debit Credit
Cash 40,000
Notes Payable 40,000
Interest on Notes payable
Interest Expense 1,333
Interest Payable 1,333
Recognizing interest owed but not yet paid.
40,000 * 5% * 8/12 = 1,333
On February:
Notes Payable 40,000
Interest Payable 1,333
Cash 41,333
Answer:
First of all, there was no attendant in the parking lot when batman arrived, meaning that he did not hand the keys. Batman kept the leys to himself all the time, so there is no transfer of possession. Without a valid transfer of possession, bailment cannot exist. Whether Batman ate at the restaurant or spent time talking to Wonder Woman do not change the facts that the safety of his Batmobile was his responsibility only.
In a 100 percent capitalist structure, there are basically
two advantages that the owners are offered:
1. They can make as much profit as they desire, as long as they are
hardworking and the market permits it.
2. They don’t have to bother themselves about the welfare of their workers.
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got: