Data generalizability is the: A) degree to which the data is an accurate portrait of the target population. B) degree to which a
specific question or investigated issue leads the respondent to give a socially expected response. C) level of preparation required to create an appropriate environment for the respondent. D) degree to which respondents share certain similarities. E) percentage of the general population that is the subject of the market research.
The answer is: A) degree to which the data is an accurate portrait of the target population.
Explanation:
To explain data generalizability I like to use election polls as an example. There are over 200 million voters in the US, and polls only cover a few thousands of voters, it is impossible to survey the whole population. Data generalizability refers to how well does the election polls reflect the real outcome of an election. Can the data sample used in the polls serve as a true parameter to know the real outcome of the election? Some polls are accurate and others aren't, accurate polls have high data generalizability.
As the expense is accrued but not paid at the end of 2013. The transaction requires an adjusting entry. This will charge a wages expense and create the wages payable liability. Ultimately on January 3 it will be paid. Wages for the two weeks are $100,000 and the 14 days has been passed for the pay period until year end of 2013.
The Net present value (NPV) commonly is used in projects and investments to analyze the profitability and compare it with other projects or investments to decide which is better.
Net Present Value (NPV) = Cash flow / (1 + discount rate) ^ number of time periods.
All the above activities are part of procedural justice
which entails ensuring that there is fairness in the processes that resolve
disputes particularly in regard to legal proceedings in criminal justice. The
aim of procedural justice is to ensure a fair trial.
