Answer:
$4,713.425
Explanation:
The computation of amount of net pay for the employee for the month of January is shown below:-
Deductions = (Gross earning × Social security tax rate) + (Gross earning × Medicare tax rate) + Federal income taxes + Health insurance + Contribution of retirement plan
= ($5,550 × 6.2%) + ($5,550 × 1.45%) + $184 + $152 + $76
= $344.1 + $80.475 + $184 + $152 + $76
= $836.575
Net pay = Gross earning - Deductions
= $5,550 - $836.575
= $4,713.425
Therefore for computing the net pay we simply applied the above formula.
Answer:
D
Explanation:
Repairs shouldn’t be recorded to the equipment (asset) account but should be recorded as an expense instead.
Answer:
The mean withdraw has increased during weekend.
Explanation:
Assume that the withdraw amounts are normal distributed. To test whether the mean withdrawal has increased during weekends, we take a z-test. The z-test is possible because the observed sample (weekend transactions) is greater than 30.
The null hypothesis (
) is when the mean withdrawal is greater than 550. The alternative hypothesis (
) is when the mean withdrawal is equal to 550 or smaller. At an alpha of 0.05% is selected with a two-tailed test, , there is 0.025% of the samples in each tail, and the alpha has a critical value of 1.96 or -1.96. If the z-value is greater than 1.96 or less than -1.96, the null hypothesis is rejected.
z-value = (600-550) / 70 / 36^(1/2) = 0.1190
At α=0.05, the z-value < 1.96 and > -1.96, the null hypothesis is not rejected. Therefore, the mean withdraw has increased during weekend.
Answer: Integrity
Explanation:
The data integrity is the term which refers to the data quality and the data integrity is one of the important factor can be improved as it maintains the accuracy and also consistency of the data in system.
According to the given example, the centralized database can helps in improving the data integrity in the system as we can easily update the records in the database system and we can also retrieves the given data from the system.
Therefore, Data integrity is the correct answer.
