the answer is Air and Water pollution.
In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
Learn more about type ii error here:
brainly.com/question/16012410
#SPJ4
Answer:
C. a third variable, such as students' home environment, must have caused students to both drink more non-diet soda and engage in aggressive acts
Explanation:
From the question, we are informed about An observational study that was conducted in inner-city Boston approximately four years ago demonstrated that high-school students who consumed more than five cans of non-diet soda every week were between 9 and 15-percent likelier to engage in an aggressive act compared with counterparts who drank less non- diet soda. In this case, we can reliably conclude that a third variable, such as students' home environment, must have caused students to both drink more non-diet soda and engage in aggressive acts.
Observational studies can be regarded as studies whereby
researchers make observation about different effect of factors such as
risk factor, home, as well as environment and diagnostic test that affects the experiment. In observational studies Variables are very crucial, A variable can be anything that that is liable to change, it can change and it can be changed as well. They are factors which the observer can manipulate or control for when carrying out experiments.
