Answer:
The answer is - joint force development life cycle.
Explanation:
Jointness is a term used for the military, it describes cross-services cooperation in all the stages of the military processes, it enables flexible leadership and creates a possibility for effective lining or networking in the military in order to generate increased combat power.
The overarching process of how jointness is maintained is <u>the joint force development life cycle.</u>
Answer: An empirical generalization
Explanation:
An empirical generalization in research, is an inference made after observing the relationship between two or more variables under different conditions.
In a research, this is the step after hypothesis and observation. The first step here is a question about correlation of fear of crime and police presence in a community. By proving that there is no relationship between these two variables, the researcher can move on to theory building where he/she reconciles their discoveries and knowledge of related fields.
The answer that best fits the given blank above is the TWO-FACTOR THEORY. The two-factor theory is also known as the <span>Herzberg's motivation-hygiene </span>theory<span> and dual-</span><span>factor theory. In this theory, it states that there are two separate factors in the workplace: factors that offer job satisfaction and factors that would cause job dissatisfaction.</span>
Answer:
They can reduce emissions and even save you money. Fueling with electricity offers some advantages not available in conventional internal combustion engine vehicles. Because electric motors react quickly, EVs are very responsive and have very good torque.
so no
Explanation:
Answer:
inferential statistics; statistically significant
Explanation:
Inferential statistics: In statistics, the term inferential statistics is defined as one of the important parts and it is responsible for using a random sample of specific data that is being taken out from a particular population to explain and develop inference related to that population.
Statistically significant: In statistics, the term statistically significant refers to the process involved in specific research that describes its results are less likely to occur due to a chance procedure.