What this deck covers
This deck focuses on Introduction To Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Study Introduction To 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.
0% Complete
Identify one benefit of using a matched pairs design.
Tap card or press Space to flip
Reduces variability by pairing similar units. Increases precision by controlling individual variation.
How well did you know it?
Card 1 / 79
Space to flip · ← / → to move · once flipped, → Got it · ← Still learning
This deck focuses on Introduction To 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: Reduces variability by pairing similar units. Increases precision by controlling individual variation.
Answer: All combinations of factors are tested. Tests all possible factor combinations systematically.
Answer: Dividing the population into groups and sampling entire groups. Samples natural groups rather than individuals.
Answer: A variable that is not considered but affects the outcome. Hidden variable that may influence results.
Answer: Reduces variability by pairing similar units. Increases precision by controlling individual variation.
Answer: Both subjects and experimenters do not know the treatment assignments. Eliminates bias from both participants and researchers.
Answer: To determine causation between variables. Establishes cause-and-effect relationships through manipulation.
Answer: A design where units are paired, and each pair receives different treatments. Controls for individual differences effectively.
Answer: Units are blocked and then randomly assigned within each block. Combines blocking with randomization for control.
Answer: Systematic errors in the design or conduct of an experiment. Systematic flaws that distort results.
Answer: When the effect of one factor depends on another factor. Factors combine to create different effects.
Answer: An individual or object to which a treatment is applied. The basic entity receiving experimental treatment.
Answer: Bias introduced by the method of selecting participants. Non-representative sampling distorts results.
Answer: Lacks random assignment of treatments. Cannot establish causation without randomization.
Answer: To control for the placebo effect. Neutralizes psychological treatment responses.
Answer: Selecting every kth individual from a list. Regular interval selection from ordered list.
Answer: Single-blind conceals from subjects; double-blind from subjects and experimenters. Double-blind also conceals from experimenters.
Answer: A variable that influences both the response and explanatory variables. Distorts true treatment effects through correlation.
Answer: A change in response due to the belief in treatment efficacy. Psychological response to perceived treatment.
Answer: All combinations of factors are tested. Tests all possible factor combinations systematically.
Answer: Random assignment of treatments to experimental units. Ensures unbiased treatment allocation.
Answer: To prevent bias by concealing treatment allocation. Reduces psychological and experimenter bias.
Answer: Observes a population at a single point in time. Snapshot of population at one moment.
Answer: The degree to which the study accurately reflects causal relationships. Measures accuracy of causal conclusions within study.
Answer: An experimental design where all units are randomly assigned treatments. Simple design with random treatment assignment.
Answer: A specific condition applied to experimental units. The experimental intervention being tested.
Answer: The outcome measured to assess the effect of a treatment. The dependent variable being measured.
Answer: Bias introduced by the method of selecting participants. Non-representative sampling distorts results.
Answer: Observes a population at a single point in time. Snapshot of population at one moment.
Answer: Units are grouped into blocks before treatments are assigned. Controls for variability within similar groups.
Answer: To test procedures and identify potential problems. Preliminary trial to refine methodology.
Answer: Reduces bias and balances confounding variables. Eliminates systematic differences between groups.
Answer: To test procedures and identify potential problems. Preliminary trial to refine methodology.
Answer: Implementing blinding procedures. Concealment prevents knowledge-based bias.
Answer: When the effect of one factor depends on another factor. Factors combine to create different effects.
Answer: To ensure representation across key subgroups. Maintains proportional representation across strata.
Answer: An explanatory variable manipulated in the experiment. The independent variable controlled by researchers.
Answer: Observes the same subjects over a period of time. Tracks changes in subjects over time.
Answer: Systematic errors in the design or conduct of an experiment. Systematic flaws that distort results.
Answer: Effects of a treatment that persist into subsequent conditions. Previous treatments influence subsequent responses.
Answer: Dividing the population into groups and sampling entire groups. Samples natural groups rather than individuals.
Answer: Observes the same subjects over a period of time. Tracks changes in subjects over time.
Answer: Random assignment of treatments to experimental units. Ensures unbiased treatment allocation.
Answer: Applying treatments to multiple experimental units. Increases reliability and statistical power.
Answer: Extent to which results can be generalized to other contexts. Measures generalizability beyond study conditions.
Answer: A specific condition applied to experimental units. The experimental intervention being tested.
Answer: A group that receives no treatment or a standard treatment. Provides baseline comparison for treatment effects.
Answer: A specific value or category of a factor. Different settings or values of a factor.
Answer: An explanatory variable manipulated in the experiment. The independent variable controlled by researchers.
Answer: To provide a baseline for comparison. Essential reference point for measuring treatment effects.
Answer: A variable that is not considered but affects the outcome. Hidden variable that may influence results.
Answer: A design where units are paired, and each pair receives different treatments. Controls for individual differences effectively.
Answer: Applying treatments to multiple experimental units. Increases reliability and statistical power.
Answer: Units are blocked and then randomly assigned within each block. Combines blocking with randomization for control.
Answer: Lacks random assignment of treatments. Cannot establish causation without randomization.
Answer: Effects of a treatment that persist into subsequent conditions. Previous treatments influence subsequent responses.
Answer: A change in response due to the belief in treatment efficacy. Psychological response to perceived treatment.
Answer: Experiments involve manipulation; observational studies do not. Key distinction is researcher control of variables.
Answer: An individual or object to which a treatment is applied. The basic entity receiving experimental treatment.
Answer: To control for the placebo effect. Neutralizes psychological treatment responses.
Answer: Experiments involve manipulation; observational studies do not. Key distinction is researcher control of variables.
Answer: Single-blind conceals from subjects; double-blind from subjects and experimenters. Double-blind also conceals from experimenters.
Answer: A specific value or category of a factor. Different settings or values of a factor.
Answer: To prevent bias by concealing treatment allocation. Reduces psychological and experimenter bias.
Answer: To ensure representation across key subgroups. Maintains proportional representation across strata.
Answer: A change in behavior due to awareness of being observed. Behavioral modification due to observation awareness.
Answer: A variable that influences both the response and explanatory variables. Distorts true treatment effects through correlation.
Answer: Extent to which results can be generalized to other contexts. Measures generalizability beyond study conditions.
Answer: The outcome measured to assess the effect of a treatment. The dependent variable being measured.
Answer: Implementing blinding procedures. Concealment prevents knowledge-based bias.
Answer: A change in behavior due to awareness of being observed. Behavioral modification due to observation awareness.
Answer: Units are grouped into blocks before treatments are assigned. Controls for variability within similar groups.
Answer: To provide a baseline for comparison. Essential reference point for measuring treatment effects.
Answer: Selecting every kth individual from a list. Regular interval selection from ordered list.
Answer: An experimental design where all units are randomly assigned treatments. Simple design with random treatment assignment.
Answer: Reduces bias and balances confounding variables. Eliminates systematic differences between groups.
Answer: To determine causation between variables. Establishes cause-and-effect relationships through manipulation.
Answer: Both subjects and experimenters do not know the treatment assignments. Eliminates bias from both participants and researchers.
Answer: A group that receives no treatment or a standard treatment. Provides baseline comparison for treatment effects.