<span>In this case the total of debit column is more than that of credit column. It can be because of two situations. One situation is that the expenses are recorded twice or more in the books in the account due to which the debit side is coming more than the credit side. Or other way around, the income has been recorded less than what needs to be actually recorded.Hence there is an accounting error committed in this scenario.</span>
Answer:
Explanation:
Data given and notation
represent the sample mean
represent the standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the mean is lower than 5600, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
See the formula of the future value of annuity ordinary through Google
Solve for PMT
PMT=10,000,000÷(((1+0.09)^(10)
−1)÷(0.09))=658,200.89
Explanation:
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