Answer: Cost-push inflation is caused by an increase in the prices of the underlying inputs of production.
I would say it’s true because it does have some facts in it
Alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis. This value determines he boundaries for the critical region, which is composed of the extreme sample values that are very unlikely to be obtained if the null hypothesis is true. Type I error is <span>when a researcher rejects a true null hypothesis.</span>
The relationship between the alpha level, the size of the critical region, and the risk of a type i error is the following: when the alpha level increases, the critical region increases and type I error increases.
The best answer that completes the statement above is this: CHANGING CRITERION DESIGN.
This question is based on the use of a double-blind study. When we say double-blind study, from the term itself double-blind, it means that neither the experimenters nor the sample or participants are going to receive the treatment of the said experiment. This kind of study is typically used in order to remove bias in the research results. Hope this helps.
Answer:
D hope that helps you out
