Answer:
31 December 2019
Cash 19000 Dr
Accumulated depreciation 12186 Dr
Equipment 27419 Cr
Gain on disposal 3767 Cr
Explanation:
Straight line depreciation method charges a constant depreciation expense through out the useful life of the asset.
To calculate the gain or loss on disposal/sale of an asset like this, we need to first determine the book value or carrying value of asset on that day.
Carrying value = Cost - Accumulated depreciation
Carrying value = 27419 - 12186
Carrying value = $15233
Gain or (loss) on disposal = Cash/Sale proceeds - Carrying Value
Gain or (loss) on disposal = 19000 - 15233
Gain or (loss) on disposal = $3767 Gain
Answer:
digitally influenced purchasing
Explanation:
This is an example of digitally influenced buying, which occurs when consumers search for data and information on a product on the internet before buying at the physical store. There are surveys that show that 64% of in-store purchases are digitally influenced, which makes companies look for strategies to increase their online presence so that customers search for information about their products and services, such as personalizing the search, including location options and product availability, which makes it easier for customers to find the product of their choice in the most convenient store.
The benefit of the transcontinental railroad was that it ended many risks of traveling across the country.
<h3>Why was the transcontinental railroad created?</h3>
The American railroad, was created in 1869, with an important innovation through the connection between the coasts of the Atlantic and Pacific oceans, having as benefits the expansion of commercial and passenger transport routes in America.
Therefore, the transcontinental railroad was built using mechanized technology in the 19th century, increasing the safety and speed of travel.
Find out more about transcontinental railroad here:
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Answer: Data gap analysis.
Explanation:
A Data gap analysis occurs when an organization evaluates it's available data, and seek methods of improving data collection to meet up with business expectations. Data gap analysis is done to ensure that, an organization has the right information to enable them run operations effectively.
