Answer:
The debit and credits for the tax proration will be as follows:
Debit seller for $483.29; and Credit buyer for $483.29.
Step-by-step explanation:
The assignment of how much is owed to the responsible party is the major reason of a proration.
For the days owned by the seller, the buyer needs money from the seller since the buyer will pay the taxes at end of the year.
Amount per day = Annual tax bill / 365 = $2800 / 365 = $7.67
Total number of days from January 1 to a day before March 5 = Number of days in January + Number of days in February + Number of days from March 1 to March 4 = 31 + 28 + 4 = 63
Amount the seller owes for the time he owned = Amount per day * Total number of days from January 1 to a day before March 5 = $7.67 * 63 = $483.29
Therefore, the debit and credits for the tax proration will be as follows:
Debit seller for $483.29; and Credit buyer for $483.29.
The answer is y=3x-6. (B). First you subtract 6x from both sides. Then you get -2y=12-6x. Now, you divide both sides by -2. This gets you the final answer; y=3x-6 or y=-6+3x.
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Answer:
(0.0757;0.1403)
Step-by-step explanation:
1) Data given and notation
Republicans =115
Democrats=331
Independents=54
Total= n= 115+331+54=500

Confidence=0.98=98%
2) Formula to use
The population proportion have the following distribution

The confidence interval for the population proportion is given by this formula

We have the proportion of independents calculated

We can calculate 
And we can find
, with this value we can find the critical value
using the normal distribution table, excel or a calculator.
On this case 
3) Calculating the interval
And now we can calculate the interval:


So the 98% confidence interval for this case would be:
(0.0757;0.1403)