Answer:
a. Depreciation expense is not explicitly included, but depreciation's effects are reflected in the estimated tax payments.
Explanation:
The cash budget is the budget that represents the receipts and payment of transactions held in cash
It includes the interest and dividend payment as it shows the outflow of cash if payment is made in cash
Moreover, it also affects the DSO and includes cash inflows with related to the long term sources such as issuance of bonds
But as we know that the depreciation is a non cash expense so it not much included but its effects are projected in the payment of tax
I think the reason why the normality of these two proportions is assumed because of n(3.13159) greater than or equal to 10 and n(1 - 3.13159) is greater than or equal to 10. Therefore, for each sample in this research, it must be taken separately.
I think the answer must be True! Because the scientist are uncertain of how long the resources will be last. Hope it helped you! Have a great day! :)
Answer:
1,200 shares held at a cost basis of $37.50
Explanation:
Since there are 1,000 shares are purchased
and the stock dividend is 20%
So the number of shares after the dividend is
= 1,000 × (1 + dividend percentage)
= 1,000 × (1 + 0.20)
= 1,000 × 1.20
= 1.200
And, the price per share is
= $44 + $1
= $45
So, the cost basis would be
= $45 ÷ 1.20
= $37.50
hence, the tax status of the investment is 1,200 shares held for cost at $37.50 basis
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.
