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This deck focuses on Introduction To Planning A Study, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Study Introduction To Planning A Study 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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Identify the main goal of an observational study.
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The main goal is to describe or compare existing groups without interference. No treatments are imposed; researchers simply observe.
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This deck focuses on Introduction To Planning A Study, 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: The main goal is to describe or compare existing groups without interference. No treatments are imposed; researchers simply observe.
Answer: An observational unit is the entity on which measurements are made. The individual item or person being measured.
Answer: A sample is a subset of individuals chosen from a population to represent it. Smaller group used to make inferences about the population.
Answer: A response variable is the outcome of interest measured in a study. What researchers want to predict or explain.
Answer: The placebo effect is a beneficial response to a placebo treatment. Shows power of psychological factors in perceived improvement.
Answer: An SRS is a sample where each set of n individuals has an equal chance of selection. Ensures every possible sample has equal probability of selection.
Answer: To gather data from every member of the population. Provides complete information but is often impractical.
Answer: Blinding prevents bias by ensuring participants or researchers are unaware of group assignments. Reduces expectation effects that could skew results.
Answer: A controlled experiment involves manipulating one variable to determine its effect. Researchers actively impose treatments to observe effects.
Answer: It increases precision by ensuring representation from each stratum. Reduces variability by controlling for known differences.
Answer: In an observational study, variables are not manipulated; in an experiment, they are. Key difference is whether treatments are imposed.
Answer: A confounding variable is an outside influence that affects the dependent and independent variables. Can make it impossible to determine true cause-effect relationships.
Answer: A pilot study tests the feasibility of a larger study. Identifies potential problems before full-scale study.
Answer: A parameter is a numerical summary of a population. Describes a characteristic of the entire population.
Answer: A sample is a subset of individuals chosen from a population to represent it. Smaller group used to make inferences about the population.
Answer: A parameter is a numerical summary of a population. Describes a characteristic of the entire population.
Answer: A convenience sample is chosen based on ease of access, not random selection. Convenience ignores randomness, creating potential bias.
Answer: An explanatory variable is a factor that is manipulated to determine its effect. The variable researchers think causes changes in response.
Answer: An SRS is a sample where each set of n individuals has an equal chance of selection. Ensures every possible sample has equal probability of selection.
Answer: A controlled experiment involves manipulating one variable to determine its effect. Researchers actively impose treatments to observe effects.
Answer: Control groups provide a baseline to compare the effects of treatments. Allow comparison to measure treatment effectiveness.
Answer: A lurking variable is not included as an explanatory or response variable but affects interpretation. Hidden variable that can confound study results.
Answer: A matched pairs design involves pairing similar units and randomly assigning treatments. Controls for differences between subjects more effectively.
Answer: Replication ensures that results are consistent and not due to chance. Multiple trials help distinguish real effects from random variation.
Answer: A response variable is the outcome of interest measured in a study. What researchers want to predict or explain.
Answer: Divide the population into strata and take an SRS from each stratum. Ensures representation from each important subgroup.
Answer: The main goal is to describe or compare existing groups without interference. No treatments are imposed; researchers simply observe.
Answer: An experiment is best for determining causality. Only experiments can establish cause-and-effect relationships.
Answer: Systematic sampling involves selecting every k-th individual from a list. Simple method but can introduce bias if pattern exists.
Answer: Neither the participants nor the researchers know who receives the treatment. Prevents expectation bias from both subjects and researchers.
Answer: Random sampling ensures each member of the population has an equal chance of selection. Prevents selection bias and enables valid statistical inference.
Answer: A sampling frame is the list or database from which a sample is drawn. The actual list used to select sample members.
Answer: Non-response bias occurs when selected participants do not respond. Missing responses may differ systematically from those received.
Answer: An experimental unit is the smallest unit to which a treatment is applied. The individual subject that receives one treatment condition.
Answer: Randomization helps eliminate bias and balance known and unknown confounding variables. Creates comparable groups by distributing confounding variables evenly.
Answer: To gather data from every member of the population. Provides complete information but is often impractical.
Answer: Selection bias and response bias. Two major sources that can invalidate study results.
Answer: Cluster sampling involves dividing the population into clusters and randomly selecting clusters to sample. Useful when population is naturally grouped geographically.
Answer: The placebo effect is a beneficial response to a placebo treatment. Shows power of psychological factors in perceived improvement.
Answer: A confounding variable is an outside influence that affects the dependent and independent variables. Can make it impossible to determine true cause-effect relationships.
Answer: Response bias occurs when participants provide inaccurate answers due to wording or interviewer influence. Question design or interviewer presence affects truthful responses.
Answer: Bias is a systematic error that results in an incorrect estimate of an effect. Creates consistently wrong results in a particular direction.
Answer: It can lead to biased results as it may not represent the entire population. May not represent the target population accurately.
Answer: A sampling frame is the list or database from which a sample is drawn. The actual list used to select sample members.
Answer: A population is the entire group of individuals or instances about which we seek information. This is the complete group being studied.
Answer: The Hawthorne effect is a change in behavior due to awareness of being observed. Being studied can change natural behavior patterns.
Answer: A lurking variable is not included as an explanatory or response variable but affects interpretation. Hidden variable that can confound study results.
Answer: A statistic is a numerical summary of a sample. Describes a characteristic calculated from sample data.
Answer: A population is the entire group of individuals or instances about which we seek information. This is the complete group being studied.
Answer: Selection bias and response bias. Two major sources that can invalidate study results.
Answer: A convenience sample is chosen based on ease of access, not random selection. Convenience ignores randomness, creating potential bias.
Answer: Control groups provide a baseline to compare the effects of treatments. Allow comparison to measure treatment effectiveness.
Answer: An observational unit is the entity on which measurements are made. The individual item or person being measured.
Answer: A statistic is a numerical summary of a sample. Describes a characteristic calculated from sample data.
Answer: Participants choose themselves to be part of the sample, which can cause bias. Creates strong selection bias toward motivated individuals.
Answer: Systematic sampling involves selecting every k-th individual from a list. Simple method but can introduce bias if pattern exists.
Answer: An experiment is best for determining causality. Only experiments can establish cause-and-effect relationships.
Answer: Response bias occurs when participants provide inaccurate answers due to wording or interviewer influence. Question design or interviewer presence affects truthful responses.
Answer: Bias is a systematic error that results in an incorrect estimate of an effect. Creates consistently wrong results in a particular direction.
Answer: An explanatory variable is a factor that is manipulated to determine its effect. The variable researchers think causes changes in response.
Answer: Blocking involves grouping similar experimental units and randomizing within blocks. Reduces variability by controlling for known confounding factors.
Answer: A placebo is used to test the efficacy of a treatment by comparing it with a control group. Controls for psychological effects of receiving treatment.
Answer: Neither the participants nor the researchers know who receives the treatment. Prevents expectation bias from both subjects and researchers.
Answer: A placebo is used to test the efficacy of a treatment by comparing it with a control group. Controls for psychological effects of receiving treatment.
Answer: Participants choose themselves to be part of the sample, which can cause bias. Creates strong selection bias toward motivated individuals.
Answer: Randomization helps eliminate bias and balance known and unknown confounding variables. Creates comparable groups by distributing confounding variables evenly.
Answer: Non-response bias occurs when selected participants do not respond. Missing responses may differ systematically from those received.
Answer: Replication ensures that results are consistent and not due to chance. Multiple trials help distinguish real effects from random variation.
Answer: Blocking involves grouping similar experimental units and randomizing within blocks. Reduces variability by controlling for known confounding factors.
Answer: It can lead to biased results as it may not represent the entire population. May not represent the target population accurately.
Answer: An experimental unit is the smallest unit to which a treatment is applied. The individual subject that receives one treatment condition.
Answer: Divide the population into strata and take an SRS from each stratum. Ensures representation from each important subgroup.
Answer: In an observational study, variables are not manipulated; in an experiment, they are. Key difference is whether treatments are imposed.
Answer: Blinding prevents bias by ensuring participants or researchers are unaware of group assignments. Reduces expectation effects that could skew results.
Answer: It increases precision by ensuring representation from each stratum. Reduces variability by controlling for known differences.
Answer: Random sampling ensures each member of the population has an equal chance of selection. Prevents selection bias and enables valid statistical inference.