Self-interest of course! Though you gave us no clue as to who is Adam... You can tell it's mostly self-interest due to the fact that he hasn't taken any class or anything on it. Looks to me that he genuinely just loves cooking!
Answer:
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.
HR organizations, mainly.
For more help under this topic, you should visit this link:
<u>https://www.google.com/search?q=What+is+a+professional+organization+affiliated+with+human+resource+management%3F&rlz=1C1CHBF_enUS777US777&oq=What+is+a+professional+organization+affiliated+with+human+resource+management%3F&aqs=chrome..69i57.322j0j7&sourceid=chrome&ie=UTF-8</u>
<u>(just copy and paste it into link bar)</u>
hope this helped
Answer:
7.8%
Explanation:
The formula and the computation of the return on assets is shown below:
Return on assets = (Net income) ÷ (average of total assets)
where,
Net income is $32,500
And, the average of total assets equal to
= (Beginning assets + ending assets) ÷ 2
= ($405,000 +$425,000) ÷ 2
= $415,000
So, the return on assets is
= $32,500 ÷ $415,000
= 7.8%
