Experimental design aims to control and eliminate the influence of confounding variables, which are factors that can potentially affect the outcome of the experiment and lead to biased results.

The type of blood pressure medication the participants are taking is a confounding variable because it can potentially affect the outcome of the study by influencing blood pressure levels.

In an experiment, the independent variable is the one that is manipulated or controlled by the researcher, while the dependent variable is the one that is observed or measured to see how it is affected by the independent variable.

The control group serves as a reference point against which the experimental group is compared. By comparing the results of the experimental group to those of the control group, researchers can determine the effects of the independent variable on the dependent variable.

An experiment is a quantitative data collection method because it involves the manipulation of an independent variable to observe its effects on a dependent variable. The results of an experiment are typically expressed in numerical form.

A population refers to the entire group of individuals or objects that are of interest to the researcher, while a sample is a subset of the population that is selected for study.

Data analysis involves summarizing and organizing the data, identifying patterns and trends, and testing hypotheses to draw conclusions from the experimental results.

An interview is a qualitative data collection method because it involves collecting non-numerical data, such as opinions, beliefs, and experiences, through face-to-face or virtual conversations.

Replication involves repeating an experiment multiple times under similar conditions. It helps to increase the accuracy of the results, minimize the impact of confounding variables, and generalize the findings to a larger population.

Systematic sampling is a random sampling method in which every nth individual or object is selected from the population, starting from a random starting point.

A hypothesis is a tentative statement that predicts the outcome of an experiment, while a theory is a well-substantiated explanation of a natural phenomenon that is supported by multiple lines of evidence.

A pilot study is a small-scale study conducted before the main study to test the feasibility of the study, identify potential problems with the research design, and collect preliminary data.

Convenience sampling is a non-probability sampling method in which participants are selected based on their availability or ease of access.

Ethical considerations are crucial in experimental design to protect the rights and well-being of participants, ensure the validity and reliability of the research findings, and comply with legal and regulatory requirements.

Age is a quantitative variable because it can be measured on a numerical scale and has a specific value for each individual.