The percentage of the disposable income that is discretionary is equal to 30.82% if the amount left after fixed expenses is $900.
As the amount left after payment of the fixed expenses is $900, this is said to be the discretionary income because discretionary income is equal to the disposable income minus fixed expenses.
Now we can calculate the percentage of disposable income that is discretionary as follows;
percentage of disposable income that is discretionary = (discretionary income ÷ disposable income) × 100
% discretionary income = (900 ÷ 2,920) × 100
% discretionary income = 90,000 ÷ 2,920
% discretionary income = 30.82%
Hence, 30.82% of the disposable income is calculated to be discretionary if the disposable income is $2,920 and the amount left after payment of fixed expenses is $900.
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Answer:
=> fraction of the portfolio that should be allocated to T-bills = 0.4482 = 44.82%.
=> fraction to equity = 0.5518 = 55.18%.
Explanation:
So, in this question or problem we are given the following parameters or data or information which are; that the utility function is U = E(r) – 0.5 × Aσ2 and the risk-aversion coefficient is A = 4.4.
The fraction of the portfolio that should be allocated to T-bills and its equivalent fraction to equity can be calculated by using the formula below;
The first step is to determine or Calculate the value of fraction to equity.
Hence, the fraction to equity = risk premium/(market standard deviation)^2 - risk aversion.
= 8.10% ÷ [(20.48%)^2 × 3.5 = 0.5518.
Therefore, the value for fraction of the portfolio that should be allocated to T-bills = 1 - fraction to equity = 1 - 0.5518 =0.4482 .
When a data analyst identifies and classifies keywords from customer reviews to improve customer satisfaction, this is an example of categorizing things.
<h3>What is data?</h3>
Data can be defined as a representation of factual instructions (information) in a formalized and structured manner, especially as a series of binary digits (bits) or strings that are used on computer systems in a company.
<h3>Who is a data analyst?</h3>
A data analyst can be defined as an expert or professional who is saddled with the responsibility of inspecting, transforming, analyzing, and modelling data with the sole aim of discovering useful information, providing insights, and creating informed conclusions, so as to support decision-making.
<h3>The data analyst six (6) problem types.</h3>
Generally, there are six (6) problem types that are associated with a data analyst and this include the following:
- Making predictions
- Categorizing things
- Spotting something unusual
- Identifying themes
- Discovering connections
- Finding patterns
In this context, we can infer and logically deduce that a data analyst identifying and classifying keywords from customer reviews in order to improve customer satisfaction is an example of categorizing things.
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<span>Baldwin has a ROE of 0.23 (ROE = net income/equity). that means: Baldwin has an return on equity of 23%. The ROE is the amount of net income that is </span>returned as a percentage of shareholder quality. ROE and this equation shows the corporations profitability but showing how much profit they have with the money that is invested by shareholders.
the answer is: a. reduces employee turnover
in business, potential benefit refers to the benefit that might or might not occurs depending on the performance that created from a certain decision.
Telecommunication is useful for the employers to communicate with the employees even if they not in close proximity. This allow employees to work at home and have more balance between their personal life and professional life. This balance would increase their comfort level in working with the employer and reduce the employee turnover.