The difference between an interrupted time series design and a non-interrupted time series design is that the interrupted time series design includes a event, while a non-interrupted time series design includes a treatment.

1. Naturally Occurring

2. Researcher implemented

Explanation:

Interrupted time series analysis (ITS), often referred to as quasi-experimental time series analysis, is a term that describes the method of analyzing statistical data, which involves tracking a long-term period before and after a point of intervention, for the purpose of assessing the effect of the intervention.

Hence, Interrupted time series design is the design of experiments based on the interrupted time series approach. In other words, it is a time series design where the "treatment" is an independent or naturally occuring event, such as a historical event

This method, can be used in various field research such as:

1. Economic

2. Sociology

3. History

4. Political science

5 . Market research

While Non-Intterupted time design is a time series design where the "treatment" is implemented by the researcher rather than the natural occurence.