The experimental research has two key advantages over correlational studies.
1. The possibility of random assignment
2. Causal connections can be assumed.
<h3>
What benefit does experimental research have over correlational research?</h3>
Correlational studies merely examine the data that already exists, whereas experimental studies give the researcher the opportunity to influence the study's factors. Researchers can make inferences about how changes in one variable affect changes in another through the use of experimental investigations.
The factors in a correlation study are out of the control of the researcher or research team. The researcher merely measures the information she discovers in the outside world. She can then determine whether changes in one are related to changes in the other, or if the two variables are correlated. In such a study, experimenters gather existing data and use statistical methods to examine it, such as economic statistics from governments. The findings of correlation studies can lead to hypotheses that can be verified through a more focused experimental one.
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Answer:

Step-by-step explanation:
It was given that, florida manatee population is 3,000 and is decreasing by 11% each year.
We want to write a function for this situation.
Since the population is decreasing annually, it is modelled by:

We substitute the give initial population and rate of decrease to get:

This simplifies to:

H=(√3)*a/2 = 41.2
So, a=2*41.2/√3=47.6
Answer:
<em>81 </em>
Step-by-step explanation:
25, 36, 49, 64, ...
36 - 25 = 11
49 - 36 = 13 = 11 + 2
64 - 49 = 15 = 13 + 2
64 + 15 + 2 = <em>81</em>
we have

we know that
When the apple hit the ground the value of y is equal to zero
so
Find the x-intercept of the function
equate the function to zero

Group terms that contain the same variable, and move the constant to the opposite side of the equation





therefore
<u>the answer is</u>

using a graphing tool
see the attached figure to better understand the problem