Answer:
The answer is e.
Explanation:
First you draw a supply and demand graph. When you move to the left on the graph, you decrease and when you move to the right, you increase. Being that both supply and demand will decrease, you will end up in the left triangle of the original graph. In that area, you can't really decide the price because it's not clear if it increases or decreases. It is clear that the quantity decreases. So (e) is the answer.
Answer:
c. It must include both qualitative and quantitative methods.
Explanation:
For the research of behaviors related to various reactions to different types of media, I will consider both qualitative and quantitative methods.
Qualitative and quantitative methods together provide more comprehensive results of the research. Qualitative methods give the quality of the media type and quantitative methods will give quantitative data such as how many people are using the particular media type and for how much time.
Hence, the correct answer is " c. It must include both qualitative and quantitative methods."
Answer:
a moving target in a competitive world
Explanation:
Armand Feigenbaum was widely known as an American quality control expert, who in his book, titled "Total Quality Control" suggested that quality is a productive system for incorporating the product and service development, quality sustenance and development actions for the purpose of providing products and services at the largely inexpensive degrees, which give full customer satisfaction.
He concluded that quality and accordingly customer value judgments are a moving target in a competitive market.
Therefore, For Feigenbaum, quality criteria always constitute "a moving target in a competitive world."
Answer:
Consider the following analysis.
Explanation:
The above regression is a normal probability plot to check the assumption that the errors have a normal distribution.
In normal probability plots, deviations from a straight line suggest departures from normality.
By looking at the plot, we can say that the assumption of Normality is not appropriate with the data.
