Answer:
The straight-line depreciation method and the double-declining-balance depreciation method:
Produce the same total depreciation over an asset's useful life.
Explanation:
The straight-line and the double-declining-balance depreciation methods are two of the four depreciation methods allowed by US generally accepted accounting principles (GAAP). The other two methods are sum of the years' digit and units of production. The straight-line method is calculated by subtracting the salvage value from the asset's cost and either dividing the depreciable amount by the number of years or applying a fixed rate on the depreciable amount. For the double-declining-balance method, 100% is divided by the number of years of the asset's useful life and then multiplying by 2 to obtain the depreciation rate. Depreciation expense is then calculated on the declining balance until the salvage value is left. This is why they produce the same depreciation over the asset's useful life.
Answer:
b.
Explanation:
Based on the scenario being described within the question it can be said that this is an example of strategies to improve customer responsiveness and innovation. Which is what the training class is providing by teaching the managers these skills they will be able to better communicate with customers is a wide range of circumstances, thus increasing customer responsiveness.
Is a microeconomics law that states, all other factors being equal, as the price of a good or service increases, consumers demand for the good or service will decrease, and vice versa
Answer:
Please find below the links of each site and its description
Occupational outlook handbook outlook Option B
Indeed.com Option D
Fun works Option F
College Scorecard Option E
CareerOne Stop Option C
National Career fairs Option A
LinkedIn Option G
a) ( 0.8509718, 0.8890282)
b) ( 0.7255, 0.7745)
Explanation:
(a)
Given that , a = 0.05, Z(0.025) =1.96 (from standard normal table)
So Margin of error = Z × sqrt(p × (1-p)/n) = 1.96 × sqrt(0.87 × (1-0.87) / 1200)
=0.01902816
So 95 % confidence interval is
p+/-E
0.87+/-0.01902816
( 0.8509718, 0.8890282)
(b)
Margin of error = 1.96 × sqrt (0.75 × (1-0.75) / 1200) = 0.0245
So 95% confidence interval is
p+/-E
0.75+/-0.0245
( 0.7255, 0.7745)
