Answer:
Option A
Explanation:
- Debit is for increasing expenses and assets
- Where as credit decreases them.
As per Newtons third law every action has a equal and opposite reaction
- So every debit have a equal credit in trial balance.
Opt A is correct
Answer and Explanation:
The preparation of the operating activities section is presented below
Cash Flows from operating activities
Net Income $88,000
Adjustment made for non cash items:
Depreciation Expense $19,000
Add: Decrease in Account Receivable $15000 ($70,000 - $85,000)
Less: Increase in Inventory $(5000) ($40,000 - $35,000)
Less: Decrease in accounts payable $(8000) ($54,000 - $62,000)
Net cash flows from operating activities $109,000
Answer: (C) The production of non durable consumer goods is more stable than the production of durable consumer goods over the business cycle.
Explanation:
The consumer durability of the goods has the significant life span and the production of the non durable goods of the consumer are basically purchased for the immediate consumption over the business cycle so that is why it is more stable as compared to the production of the durable goods.
The example of the durable consumer goods are smartphones, furniture and the other household appliances. On the other hand, the non durable consumer goods are more stable as it contain daily use material like food, clothes and beverages.
Answer:
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Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.
