AP®︎ Statistics: Topic 1.10 Flashcards

Master key terms and definitions for Topic 1.10 of AP Statistics – The Investigative Question Revisited and Data Collection to help you prep for quizzes and the AP exam.


0%
26 cards total
26 not started
0 learning
0 almost done
0 mastered
Term

Investigative Question Components

Definition

1) variables and data collection, 2) parameter or relationship and analysis, 3) population and type of conclusion

1 / 26
Investigative Question Components
Not Started

1) variables and data collection, 2) parameter or relationship and analysis, 3) population and type of conclusion

1.10.A1.10.A.3
First Component of an Investigative Question
Not Started

States the variable(s) of interest and what will be measured on each observational unit; guides data collection

1.10.A1.10.A.1
Second Component of an Investigative Question
Not Started

States the population parameter or relationship of interest and guides the choice of analysis

1.10.A1.10.A.2
Third Component of an Investigative Question
Not Started

States the population to which the conclusion is intended to apply and the type of conclusion sought, such as association or cause-and-effect

1.10.A1.10.A.3
Hypothesis-Test Investigative Question
Not Started

An investigative question that makes clear the parameter or relationship of interest and the direction of the alternative hypothesis

1.10.A1.10.A.2.i
Confidence-Interval Investigative Question
Not Started

An investigative question that identifies the parameter or relationship of interest and asks for an estimate in a range of plausible values

1.10.A1.10.A.2.ii
Census
Not Started

Recording information from every individual or item in the population

1.10.B1.10.B.1
Experiment
Not Started

A study in which the researcher assigns treatments to experimental units to investigate their effects

1.10.C1.10.C.1
Experimental Unit
Not Started

The observational unit to which a treatment is assigned; when people, often called subjects or participants

1.10.C1.10.C.2
Explanatory Variable or Factor
Not Started

The variable that may explain or predict changes in the response; in an experiment, a factor is an explanatory variable whose levels are imposed on experimental units

1.10.C1.10.C.3
Treatment
Not Started

A condition imposed on experimental units; with one factor, the treatments are the factor's levels; with more than one factor, the treatments are combinations of factor levels

1.10.C1.10.C.3
Response Variable
Not Started

The outcome measured or recorded on each unit; in an experiment, it is measured after the treatment is administered

1.10.C1.10.C.4
Observational Study
Not Started

A study in which treatments are not imposed and the researcher records variables as they naturally occur

1.10.D1.10.D.1
Prospective Study
Not Started

An observational study in which units are selected at a point in time and data are gathered then and into the future

1.10.D1.10.D.2
Retrospective Study
Not Started

An observational study in which units are selected at a point in time and information from the past is gathered

1.10.D1.10.D.3
Survey
Not Started

An observational study that collects data from people using a standard set of questions

1.10.D1.10.D.4
Confounding Variable
Not Started

A variable associated with both the explanatory and response variables that provides an alternative explanation for an observed relationship

1.10.D1.10.D.5
Random Sample
Not Started

A sample in which all observational or experimental units are selected from the population using a random mechanism

1.10.E1.10.E.1
Nonrandom Sample
Not Started

A sample in which units are deliberately chosen or volunteer themselves rather than being selected by a random mechanism

1.10.E1.10.E.3
Random Selection and Generalization
Not Started

When units are randomly selected from a population, it is appropriate to generalize results to that population

1.10.E1.10.E.2
Nonrandom Selection and Generalization
Not Started

If units are not randomly selected, conclusions should be limited to the study units or similar individuals, not the whole population

1.10.E1.10.E.4
Random Assignment
Not Started

Using a random mechanism to assign treatments to experimental units; in a well-designed experiment, it supports a cause-and-effect conclusion

1.10.A1.10.A.3
Random Selection vs. Random Assignment
Not Started

Random selection chooses units from a population and supports generalization to that population; random assignment assigns treatments to experimental units and supports cause-and-effect conclusions

1.10.E1.10.E.2
Sample
Not Started

A subset of the population from which data are obtained

1.10.E
Population
Not Started

All individuals or items of interest in the study

1.10.A1.10.A.3
Observational Unit
Not Started

The individual or item on which data are recorded

1.10.A1.10.A.1