A true experiment is a type of experimental design in which the researcher has control over the independent variable and can manipulate it to observe its effect on the dependent variable.

The primary purpose of a control group is to compare the results of the experimental group, eliminate the effects of confounding variables, and provide a baseline for comparison.

Randomization is a principle of experimental design that aims to reduce bias and ensure that the results are not influenced by extraneous factors by randomly assigning participants to different treatment groups.

The purpose of replication in experimental design is to increase the sample size, reduce the effects of random error, and enhance the reliability of the results.

A matched pairs design is a type of experimental design in which the researcher compares two or more groups that are similar in all respects except for the independent variable.

The purpose of blinding in experimental design is to reduce the effects of experimenter bias, eliminate the placebo effect, and enhance the validity of the results.

A factorial design is a type of experimental design in which the researcher investigates the effects of two or more independent variables on a dependent variable.

The purpose of a completely randomized design in experimental design is to ensure that each participant has an equal chance of being assigned to any treatment group.

A randomized block design is a type of experimental design in which the researcher blocks participants based on one or more characteristics to reduce the effects of confounding variables.

The purpose of data analysis in experimental design is to summarize and interpret the results, draw conclusions about the effects of the independent variable, and identify patterns and trends in the data.

Analysis of Variance (ANOVA) is a statistical method used to analyze the results of an experiment with two or more independent variables.

The purpose of a t-test in experimental design is to compare the means of two groups, determine the significance of the difference between two means, and test the hypothesis that the means of two groups are equal.

Regression Analysis is a statistical method used to analyze the relationship between two variables.

The purpose of a chi-square test in experimental design is to test the independence of two variables, determine the goodness of fit of a model, and compare the proportions of two groups.

Common ethical considerations in experimental design include informed consent, confidentiality, and protection from harm.