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This deck focuses on Selecting An Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Study Selecting An Experimental Design in AP Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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A variable not of interest but could affect the outcome. Must be controlled to avoid confounding the results.
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This deck focuses on Selecting An Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: A variable not of interest but could affect the outcome. Must be controlled to avoid confounding the results.
Answer: To ensure each participant has an equal chance of receiving any treatment. Creates comparable groups to isolate treatment effects.
Answer: Crossover design. Each subject receives all treatments as their control.
Answer: To prevent bias in treatment administration and assessment. Eliminates placebo effects and experimenter bias.
Answer: A group of subjects that are similar in ways expected to affect the response. Homogeneous units within blocks reduce experimental error.
Answer: Matched pairs design. Maximizes statistical power when subjects are limited.
Answer: To assess the consistency of interaction effects. Multiple replications verify interaction effect reliability.
Answer: The variable that is manipulated by the researcher. The factor deliberately changed to test its effect.
Answer: The variable that is manipulated by the researcher. The factor deliberately changed to test its effect.
Answer: Matched pairs design. Maximizes statistical power when subjects are limited.
Answer: Lacks random assignment of subjects to treatments. Cannot randomly assign subjects to treatment conditions.
Answer: Factorial design. Can detect how factors combine to affect outcomes.
Answer: To increase reliability and accuracy of results. Multiple trials reduce impact of random variation.
Answer: Replication. Multiple subjects per treatment reduce random variation effects.
Answer: Crossover design. Each subject receives all treatments as their control.
Answer: Effects of a previous treatment that influence outcomes in subsequent treatments. Previous treatments may affect responses to later treatments.
Answer: Each participant receives multiple treatments, reducing variability. Each subject serves as their own control group.
Answer: Randomized controlled trial. Random assignment isolates treatment effects from confounders.
Answer: Eliminates bias from both participants and researchers. Neither group knows treatment status, preventing bias.
Answer: To isolate the effect of the independent variable. Shows changes due to treatment, not other factors.
Answer: To serve as a baseline for comparison to the treatment group. Establishes what happens without the experimental treatment.
Answer: To serve as a baseline for comparison to the treatment group. Establishes what happens without the experimental treatment.
Answer: A group of subjects that are similar in ways expected to affect the response. Homogeneous units within blocks reduce experimental error.
Answer: Subjects change their behavior because they know they are being studied. Awareness of observation changes natural behavior patterns.
Answer: Reduces variability by grouping similar experimental units. Grouping similar units decreases experimental error.
Answer: Factorial design. Can detect how factors combine to affect outcomes.
Answer: To isolate the effect of the independent variable. Shows changes due to treatment, not other factors.
Answer: Cannot establish causation due to lack of control over variables. Missing manipulation prevents proving causation exists.
Answer: To assess the consistency of interaction effects. Multiple replications verify interaction effect reliability.
Answer: When comparing two treatments with closely related subjects. Pairing controls for individual differences between subjects.
Answer: To eliminate bias and balance unknown factors. Random assignment distributes unknown confounders equally across groups.
Answer: Single-blind: participants unaware of treatment. Double-blind: both participants and experimenters unaware. Prevents bias from expectations affecting results.
Answer: Single-blind: participants unaware of treatment. Double-blind: both participants and experimenters unaware. Prevents bias from expectations affecting results.
Answer: To eliminate bias and balance unknown factors. Random assignment distributes unknown confounders equally across groups.
Answer: To ensure each participant has an equal chance of receiving any treatment. Creates comparable groups to isolate treatment effects.
Answer: A design where subjects are paired based on similarities and given different treatments. Reduces variability by controlling for subject characteristics.
Answer: Subjects are randomly assigned to treatment and control groups. Gold standard design for establishing causal relationships.
Answer: The variable measured as the outcome of the experiment. The outcome measure affected by the independent variable.
Answer: A variable that influences both the dependent and independent variables, causing a false association. Creates spurious relationships between variables being studied.
Answer: Eliminates bias from both participants and researchers. Neither group knows treatment status, preventing bias.
Answer: A substance with no therapeutic effect used as a control in testing new drugs. Controls for psychological effects of receiving treatment.
Answer: Subjects are divided into blocks based on a characteristic, then randomized within blocks. Controls for known sources of variation before randomization.
Answer: Subjects are randomly assigned to treatment and control groups. Gold standard design for establishing causal relationships.
Answer: To prevent bias in treatment administration and assessment. Eliminates placebo effects and experimenter bias.
Answer: A study where researchers observe subjects without manipulating variables. Cannot establish causation, only associations between variables.
Answer: Less effective if there is variability among experimental units. Cannot control for differences between experimental units.
Answer: Reduces variability by grouping similar experimental units. Grouping similar units decreases experimental error.
Answer: Randomized block design. Blocking controls known sources of variation.
Answer: Lacks random assignment of subjects to treatments. Cannot randomly assign subjects to treatment conditions.
Answer: Effects of a previous treatment that influence outcomes in subsequent treatments. Previous treatments may affect responses to later treatments.
Answer: When the effect of one factor depends on the level of another factor. Combined factor effects differ from individual effects.
Answer: An experimental design where subjects are randomly assigned to treatments. Ensures each subject has equal probability of any treatment assignment.
Answer: Potential carryover effects between treatments. Previous treatments may influence subsequent treatment responses.
Answer: Experiments involve the manipulation of variables; observational studies do not. Only experiments can establish cause-and-effect relationships.
Answer: To test the feasibility and refine the study design. Identifies problems before conducting the full study.
Answer: Subjects are divided into blocks based on a characteristic, then randomized within blocks. Controls for known sources of variation before randomization.
Answer: Randomized controlled trial. Random assignment isolates treatment effects from confounders.
Answer: Participants receive all treatments in a sequence. Same subjects receive all treatments over time.
Answer: Randomized block design. Blocking controls known sources of variation.
Answer: Participants receive all treatments in a sequence. Same subjects receive all treatments over time.
Answer: When the effect of one factor depends on the level of another factor. Combined factor effects differ from individual effects.
Answer: Each participant receives multiple treatments, reducing variability. Each subject serves as their own control group.
Answer: A study where researchers observe subjects without manipulating variables. Cannot establish causation, only associations between variables.
Answer: An experiment where two or more factors are tested simultaneously. Tests multiple factors and their interactions simultaneously.
Answer: Experiments involve the manipulation of variables; observational studies do not. Only experiments can establish cause-and-effect relationships.
Answer: Less effective if there is variability among experimental units. Cannot control for differences between experimental units.
Answer: Replication. Multiple subjects per treatment reduce random variation effects.
Answer: Cannot establish causation due to lack of control over variables. Missing manipulation prevents proving causation exists.
Answer: To test the feasibility and refine the study design. Identifies problems before conducting the full study.
Answer: A variable not of interest but could affect the outcome. Must be controlled to avoid confounding the results.
Answer: When comparing two treatments with closely related subjects. Pairing controls for individual differences between subjects.
Answer: To increase reliability and accuracy of results. Multiple trials reduce impact of random variation.
Answer: Potential carryover effects between treatments. Previous treatments may influence subsequent treatment responses.
Answer: An experiment where two or more factors are tested simultaneously. Tests multiple factors and their interactions simultaneously.