Answer:
$2.4 million
Explanation:
The total assets of the firm are funded by both debt and equity,hence, the total assets is the same as total equity plus total debt based on the accounting equation formula below:
total assets=equity+debt
tota assets=$4 million
equity=unknown
debt can be derived using the debt ratio as shown thus:
debt ratio=debt/total assets
debt ratio=40%
debt=unknown
total assets=$4 million
40%=debt/$ 4 million
debt=40%*$4 million
debt=$1.6 million
$4 million=equity+$1.6 million
equity=$4 million-$1.6 million
equity =$2.4 million
Answer:
Under the UCC 1-201(37) Mallon has a security enthusiasm for the generator it provided to Redford as a security under UCC 9-102(4(72)). The generator is insurance under UCC 9-102(a) (12) thus, long as Mallon documents has recorded its consummated security intrigue first under UCC 9-322(a) (1), it will have need in taking the guarantee from Garfield.
If Mallon's and Redford's liens were both idealized, at that point the first to record or claim the security has need under UCC 9-322(a)(1). Under UCC 9-322(a)(3), the first of un-perfected security interests to append has need.
A special case that Mallon should know about is under UCC 9-320(a), where in a purchaser (Garfield) of products in the customary course of the dealer's (Redford) business, the purchaser beats a secure about gathering's (Mallon) intrigue, regardless of whether idealized and regardless of whether the purchaser is aware of the security intrigue.
Answer:
A. ($1,000).
Explanation:
In the question, it is given that the fair market value of the land is $49,000 and the selling value is $48,000. So, in the given situation the selling value of the land is less than the fair market value which reflect the loss of $1,000
The $1,000 is come by subtracting the selling value and the fair market value
All other information is not relevant for the computation part. Hence, ignored it
Answer:
The answer is C.It makes recommendations that are validated using machine learning.
Explanation:
A performance planner is a tool used by Google Ads to devise plans in relation to how a business spends on advertising and how changes on advertisement campaigns will affect key metrics and the general performance. It is mostly used as a forecasting tool, with the use of machine learning to show the possibilities or potential outcomes in Google Ads campaigns. This implies that all the conclusions arrived at, are determined by machine learning.
