Answer:
We can infer a cause-and-effect relationship because multiple variables were tested in a experimental and control groups of a random sample.
The cause and effect relationships discovered from the study include
1) The presence (or absence) of daytime running lights and the type of drivers that'll drive the car.
2) The presence (or absence) of daytime running lights and whether or not the car was prone to accidents.
Step-by-step explanation:
From the results printed in the newspaper, it is evident that
- The sample were randomly selected.
- There was an experimental group of cars with daytime running lights.
- And a control group of cars with no daytime running lights.
- Then, different drivers were sampled, ones that were confident and attentive being one of the favourable groups.
- And the cars were investigated for which ones were more prone to accidents.
That the sample is of considerable size and is a random sample means that the results of this study can be generalized.
There were multiple variables tested, presence or absence of daytime running lights, the type of drivers, whether or not the car is prone to accidents.
Then the conclusion from the study, according to the newspaper, shows that there is a relationship between
- The presence (or absence) of daytime running lights and the type of drivers that'll drive the car.
- The presence (or absence) of daytime running lights on whether or not the car was prone to accidents.
Hope this Helps!!