Explanation:
1. Employed as she was working before the holidays.
2.No, as people are considered employed if they did any work at all for pay or profit during the survey reference week.
3.Yes, as she won't be getting any pay or profit.
4.No, as to be counted as 'unemployed' you will have to be looking for work, or currently available to work. But, she is working as a substitute.
5.Yes, because she will have to look for a job.
6. I'm not sure about that one sorry
7.Yes, because he won't be getting pay or profit.
8.He will be considered in the labour force. As he won't have a job or not looking for one.
9.Focusing on school, have no time. etc.
10.That question is for you.
Answer:
locations m and O
Explanation:
as the meridian is perpendicular to direction of the rotation of the earth did at two places on the same meridian must have the same solar time
Answer:
A) does overeating cause obesity?
Explanation:
Terms in all of these questions often have fuzzy definitions, so it is often a matter of judgment whether a particular condition is or is not included in the discussion.
The question most likely to be considered a question of fact is ...
A) does overeating cause obesity?
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"Overeating" and "obesity" can be objectively defined, even if the causal relationship is less easy to establish.
"Beautiful" is usually a matter of opinion, and cannot be considered a matter of fact.
"Equal opportunities" is exceptionally difficult to define considering the range of personalities and abilities that may be offered a given opportunity. This is another term that is more a matter of opinion than of fact. Whether something "should" or "should not" be provided is, likewise, a matter of opinion (or personal philosophy or religion).
"Bad habit" is another descriptor that is difficult to say is a matter of fact. Whether something is "good" or "bad" depends on the goal, and the effect of procrastination depends on the circumstances.
Given that a directional hypothesis is a prediction made by a researcher regarding a positive or negative change, relationship, or difference between two variables of a population, a two-tailed test is the perfect tool to validate it because a two-tailed test is designed to examine both sides of a specified data range.
So the final answer to this question is:
True.
