Answer is a hope this helps cause its like common sense
Answer:
The pension expense for 2021 = $543,500
Explanation:
Service cost = $523,000
Amortization of prior service cost = $113,000
Settlement rate = 11%
Projected benefit obligation = $1,450,000
Accumulated benefit obligation = $3,600,000
Note: The necessary calculations are in the table attached as a file to this solution.
Obtain a customer signed statement acknowledging that an annuity transaction is not recommended if a customer decides to enter into an annuity transaction that is not based on the insurance producer's or insurer's recommendation.
<h3>Who is responsible for verifying your suitability?</h3>
The insurer or third party delegate authorized pursuant to section 224.
6(c) of Regulation 187 conducts a suitability review prior to the issuance of an insurance product or the effectuation of a sales transaction; and.
The insurer has procedures designed to prevent financial exploitation and abuse.
<h3>What factors are important considerations when determining suitability of an annuity sale?</h3>
Suitability Information Gathered by an Insurer
- Age.
- Annual income.
- Financial situation and needs, including the financial resources you're using to fund the annuity.
- Financial experience.
- Financial goals and objectives.
- Intended use of the annuity.
- Financial time horizon.
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brainly.com/question/15171641</h3><h3 /><h3>#SPJ4</h3>
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.
