Answer: A) Give and explain counter-arguments against the arguments for each side.Note: the "counter-arguments" you are asked to give should oppose or answer the arguments on the other side as directly and convincingly as possible. They should not be simply unrelated arguments on the opposite side of the issue.
Explanation: When is talking about security is important to have different views, firstable you need to establish which are going to be your claims, premises or arguments, once you got it is important to search for information which can support your ideas, and once you have found it, counter-arguments are necessary to understand which are your weakest point, you need to know your counter-arguments and how people are likely to attack you, once you know the weak part of your speech you can defend it.
Answer:
The application of skill and knowledge with reasonable care and diligence
Explanation:
Competence is a part of Article IV- Due Care under the AICPA code of professional conduct. Competence is necessary to render the professional service without calling into question. It represents the application and maintenance of perceiving experience that supports a professional member to render a service with extreme knowledge, facility, and professionalism. Therefore, the answer choice B is the correct option.
Answer:
Category variable: Caucasians, Asians, Africans
Quantitative variable: 20%, 25%, 1%.
Explanation: The are two variables in these study. They are categorical variable and quantitative variable.
Categorical variables are variable that helps classify a given population eg race, hair colour, skin colour. Most of the time are not numerical, so we can't multiply, add or subtract them. As given in this assignment the Caucasians, Asians and Africans are category variables.
Quantitative variables are those that numerical and they reflect count, percentages(20%, 25%, 1%) and can be added, subtracted, or multiplied. The percentage of the ethnic group is an example of quantitative variable.
Answer:
The common problem i encounter mostly is the statistical modelling problem.
In this scenario we choose best combination of independent variables for the hypothesis testing. the independent variable shows the significant effect on dependent variable so we keep it in modelling.
My null hypothesis would be that there is no significant effect of independent variable on dependent variable. for my alternative hypothesis there exist is significant effect of independent variable on dependent variable.
Explanation:
The common problem I face daily is the statistical modelling problem which is the selection of relevant independent variable for prediction modelling.
In this example to select the best combination of independent variables we use hypothesis testing. if the independent variable has significant effect on dependent variable then the independent variable shows the significant effect on dependent variable so we keep it in modelling. In this way the model gets improved.
Since there are always two variables or two categories. hence it has a two sample test.
The Hypothesis can be shown below:
Null hypothesis:
H0: There is no significant effect of independent variable on dependent variable.
Alternative hypothesis:
Ha: There is significant effect of independent variable on dependent variable.
Since Alex and Bailey are partners and they will be shutting down the partnership. the debts should be settled by both. they will have to sacrifice their personal assets in doing so
