Answer:
surveys
Explanation:
Micah would certainly use a form of quantitative data because his study sets to obtain numerical value of the single-parent households in his school district which can be counted and measured. Surveys can be used to obtain the discrete data he needs in the process.
This is a more objective method of data collection and Micah can have a broader look of a large portion of areas to be analyzed.
Answer: C & D
Explanation: In the context above, there is no scientific correlation or relationship between ice cream and level of temper. The observed association may be either due to mere coincidence, that is, moment whereby reduction in temper of the subject or participant is witnessed aligns with the the time at which ice-cream is consumed. Coincidental relationships have no scientific relationship and are not fixed, as they usually occur rather naturally in varying circumstances.
The observed correlation might also be due to a confounding or third variable which isn't part of our data but impacting our data, hence, resulting in the observed relationship.
<span>The Industrial Revolution was beginning to turn an agricultural economy into one with machines and manufacturing. The Industrial Revolution was growing rapidly in the United States during the early 19th century.</span><span>Hoped I Helped!</span>
ANSWER: Correct Option is (C) [that he or she is getting what he or she has paid for].
EXPLANATION: An express warranty refers to a written or spoken agreement by a seller to a potential buyer of a product or services for a specific time frame. Hence, the express warranties are often included in the seller’s contract.
However, buyers rely on these guarantees (such as product’s; nature, performance, purpose, quality, state and etc) before purchasing the product.
Furthermore, express warrantues can also be created by a simple statement on an advertisement and sometimes signed in a stores.
Lastly, this agreement guaranteed the buyers of getting what they paid for.
Answer:Selection bias
Explanation:Selection bias refers to selecting individuals in a way that a proper randomisation is not achieved which makes the result not representative of the whole population. This is also called selection effect.This usually occurs when a researcher chooses only participants that will support the idea he has in mind about the variable of interest that they are researching. For example if someone is researching the effect of healthy food on particular population but instead of selecting participants randomly, a researcher goes to a health food market ,vegetable places and gyms. Then a researcher ends up concluding that healthy eating is crucial within this population.
This is wrong because a researcher only chose places that were convenient to this research.
