Answer:
$ 896,000.00
Explanation:
September $800,000
October $920,000
November $840,000
December $760,000
Payments for November:
30percent purchase for November: = 30/100 x $ 840,000.00
= $ 252,000.00
70 percent payment for the previous month
=70/100 x $ 920,000.00
= 644,000.00
Total payments = $ 252,000 + $ 644,000.00
=$ 896,000.00
The correct answer is true.
The United States issues savings bonds, which is equivalent to loaning them money. Savings bonds are a very safe investment for the investors and gives the United States cash flow.
Answer:
The correct answer is letter "C": When both the fair value of a reporting unit and its associated implied goodwill fall below their respective carrying values.
Explanation:
Impairment Loss is the decrease in an asset's net carrying value that exceeds the future undisclosed cash flow it should generate. The net carrying value is an asset's acquisition cost minus depreciation. Impairment occurs when a company sells or abandons an asset that is no longer beneficial.
Thus, <em>a goodwill impairment loss is recognized when the goodwill's net carrying value is below its fair value and the expected cash flow it was to generate.</em>
Answer:
The correct answer would be, $70500
Explanation:
Raw Material Turnover means what amount of raw materials is used within a specific period of time. So the raw material turnover would be calculated by adding the beginning inventory with the amount of material used within the period, and then the remaining material will be deducted. So the whole calculations are shown as follows:
Beginning Raw Material Inventory: $5000
Raw Material Used: $71500
Ending Raw Material Inventory: $6000
Raw Material Inventory Turnover:
Beginning Inventory + Raw Material Used - Ending Raw Material
= 5000+71500-6000= $70500
In statistics, reliability refers to how consistent a measurement scale is overall. Measurement scales with high reliability scores would be able to produce similar results when tested with groups of samples similar to the initial testing conditions.
Reliability scores are measured through reliability coefficient which spans from 0.0 to 1.0. What a reliability coefficient of 0.92 means is (B) 92% of the variance in scores is explained by real differences.
