<span>Productivity increases with technology improvements. Supporting technology improvements increases jobs in the tertiary sector by requiring support staff for the technology, in addition to staff to handle increased products, and staff to support increases in consumption of the products.</span>
I think the correct answer from the choices listed above is option A. When population growth increases in an area, there will be an increasing birth rate with a greater number of young organisms. This is because more young organisms are being born and added to the population.
Answer: He is not correct
Explanation:
In marketing it is advisable that the product be presented to the market, then the market(both old, young) make their choice. It's now from their choice that you can do a survey of who would likely continue with your product and who would be considered less, but generalizing without sampling the views of others is not a good way to advertise, you never can tell; the younger may desire the product than the older
I believe the answer is: A.We gain our personal identities by interacting with others.
By communicating with others, human would start to understand the role that they can and expected to play within the social group. From that role, our identity would be shaped. Our personal desire and how other people perceive us both contribute to the type of identities that we have.
Answer:
- Sampling bias.
Explanation:
Sampling bias is demonstrated as the partiality or bias displayed while selecting the samples(selection of non-random sample with lower sampling probability) for a particular survey or research which eventually affects the conclusion of the .
As per the question, the most significant problem with the given inference would be 'sampling bias' as the samples are not selected on random basis(interviewed people support arts on money basis) which is reflected through the observation that 'a large majority of Americans are willing to support the arts by giving money to local theater groups.' This bias in sampling may affect the validity of the results and lead to a faulty conclusion.
