Answer:
This study is an example of a blocked design experiment.
Explanation:
Directly, we can say that a blocked design experiment is an experiment that has the object of study divided into blocks that are repeated throughout the experimental unit. In the experiment presented in the question above, we can recognize these blocks when the researcher decided to divide the coastline into 30-meter plots, installing some with breakwaters and others without. Each plot, in this case, is a block.
This type of experiment requires that all blocks are the same and be subjected to the same factors. This allows the researcher to have control of the entire experiment and obtain homogeneous results in each block. In the experiment shown above, we can see that this control has been impaired, since the coastlines to the east and west of the lake receive very different wave patterns due to the wind. This will prevent the blocks from having homogeneous results, since the action of the breakwaters will be affected differently in each block.
Red Sea Reef, since a reef is a productive and diverse organism with different species of coral.
North and Central <span>Asia</span>
Explanation:
A major problem with using 15 years of data to predict 100 years of data is that the 15 years could have been setting a trend, then level off.
For example, if the 15 years of data was a graph, and it was going up every year, then what if 20 years into the 100 years it stops going up? Then that means the data was invalid because there wasn't enough to base any trends off of.
You can prevent this from happening by extending the collection time of data and to reduce the amount of time that the data will be used to predict.
Hope this helps!
