The hypothesis becomes a theory.
From being a suggested explanation (for an observable
phenomena), hypothesis develops into a scientific theory. Hypothesis that is tested or undergone
scientific methods and experimental research
move on to become a scientific theory. Scientific theories have consistent with
experimental results and must have predictive power.
Carrie Chapman Catt was a President of the National American Women's Suffrage Association.
Carrie Chapman Catt's Winning Plan had the following strategies:
Have senators and representatives of different states support Women's Suffrage (women's right to vote).
Obtain suffrage at both the federal and state levels with a compromise for partial suffrage in resisting states.
Support the war effort to give off patriotic airs to the public.
A shift in aggregate demand can cause an economic expansion and over time the effect on the expected price level is rising and shifting aggregate supply to the left. Hence, the correct option is (D).
<h3>What is Aggregate Demand?</h3>
Aggregate demand is a measurement of the demand that occurs for a product or service in a nation. The measure used in aggregate demand is money. Therefore, aggregate demand will show the amount of money spent by consumers on a good or service at a certain price level. Aggregate demand measured over a long period of time will also reflect gross domestic product (GDP).
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According to the heuristic-systematic model of persuasion, when people use the peripheral route of persuasion, they rely on heuristics.
<h3>Recognizing Heuristics</h3>
Various aspects of many different businesses, including finance, retail, media, and transportation, have been disrupted by the various digital technology advents and breakthroughs. Some daily tasks are no longer necessary, such as the online purchase of goods and services, the ability to deposit checks directly into bank accounts, and the use of food delivery apps for takeout.
Data produced by all of this new technology is shared across a wide range of sectors and industries. In order to address a problem, a professional in any field might have to deal with mountains of complicated data. Given a lack of time and resources, heuristic methods can be used to deal with data complexity.
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