When we use blue and UV lights it occursb to bring more insects.So I think we shoul just focuse on UV and Blue lights so we may catch more insects.
Creating a testable hypothesis
Given all of the questions you've listed you will get an idea of what you will ultimately want to test. At this point in your project you will want to create a question, possibly one of the ones you already wrote in the previous step, which will be your hypothesis.
A hypothesis, in its simplest form, is a prediction on how two variables are related. This can be a causal prediction: if X occurs then Y will occur. Or it can be a prediction of a correlation: both X and Y will be observed concurrently. Note that a correlation is far easier to test for than a causal relationship.
An example of a causal hypothesis could be:
"IF the median income of a country increases then the per capita production of carbon dioxide should also increase."
An example of a prediction of correlation would be:
"The median total earned income for a country will tend to be larger in countries which are less biodiverse."
For a causal hypothesis you will need to construct a series of tests which establish how the occurrence of X, the increase in the median income of a country, will precede Y, the increase in the per capita production of carbon dioxide. For a hypothesis focused on correlation the prediction is just that X and Y, high median total earned income and low biodiversity, will tend to be found in levels which fit a well-defined function (e.g. a linear or inverse function).
At this point you will want to create a hypothess. Make sure it is testable given the equipment and information you will have access to.