Answer:
B) The promise to pay in the event of a covered claim
Explanation:
The promise to pay in the happening of a covered claim apparently describes the promise to pay in the process of covered claim. In insurance matter of contracts, the insurer assures to pay for covered losses which the insured suffers and the insured promises to do what the contract says and pay the premium. Most non insurance contracts are fluctuating contracts. The amount of attention given by both parties are almost equivalent.
Answer:
d. BD 2,500
Explanation:
Accumulated Depreciation through the end of year 4 = [ Asset's cost - Salvage Value) / Estimated Useful Life] * Years Elapsed
= [(23,000 - 3,000)/8] * 4
= BD 10,000
Depreciation in Year 3 = [Asset's cost - Salvage Value - Accumulated Depreciation] / Remaining Estimated Useful Life
Depreciation in Year 3 = [23,000 - 3,000 - 10,000] / 4
Depreciation in Year 3 = 10,000 / 4
Depreciation in Year 3 = BD 2,500
Answer:True
Explanation:There are many form a quick editing hoped this helped ;) ... In a spreadsheet, there are many features that help you edit quickly.
Answer:
Cash received from customers is $90,025 million
Cash paid to suppliers is $72,128 million
Explanation:
Cash received from customers is the net sales of $91,758 million minus the increase in accounts receivable since that is the portion of revenue yet to be received.
cash received from customers=$91,758 million-$1,733 million=$90,025 million
cash paid to suppliers is the cost of goods sold of $69,278 million plus the increase in inventory as well as the increase in accounts payable
cash paid to suppliers=$69,278 million+$883 million+$1,967 million=$72,128 million
Please find full question attached
Answer:
Inferential statistics
Descriptive statistics
inferential statistics
descriptive statistics
Descriptive statistics
Inferential statistics
Explanation:
Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.
