Answer:
<u /><u />
<u />
Explanation:
The missing information is attached below.
For the control, you'll need something you're already familiar with. In this scenario, a normal flower with no changes in characteristics is the best control. And if no data is accessible, you still have data on the success rate of a typical flower, which can be used as a guideline. And, for the initial configuration, you can only adjust one characteristic so it would be easier to maintain track of and analyze the data gathered.
Since the aim of your experiment is to examine the influence of flower characteristics on pollination performance, you should keep track of the active pollination events. To have more accurate results, this would require listing the total number of plants that were to be pollinated.
Once you've completed the initial examination, you'll need to run tests on various characteristics to see whether they have some impact on pollination performance. To see the importance of different characters on pollination, change only one trait in flowers; if you'd like to research combined results, create pairs and change them together.
<u />
<u />
Your outcome is also the one that has gotten the most constructive or negative reviews. If some changed characteristic significantly affected the number of pollination efficiency, that is your outcome, because that is what you can mention as a good result and pollination enhancer.
