AP Statistics

0.0(0)
studied byStudied by 0 people
0.0(0)
full-widthCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/46

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

47 Terms

1
New cards

Random Outcomes

Outcomes that occur by chance; every possible outcome has a known probability of occurring.

2
New cards

Response Variable

The variable that measures the outcome or result of interest in a study.

3
New cards

Population

The entire group of individuals or items about which we want information.

4
New cards

Sample

A smaller subset of the population, selected to represent the whole.

5
New cards

Sample Survey

A study that collects data from a sample to learn about a population.

6
New cards

Bias

A systematic error that causes estimates to differ consistently from the true population value.

7
New cards

Randomization

The use of chance to assign individuals to groups or treatments, reducing bias.

8
New cards

Sample Size

The number of observations or individuals in a sample.

9
New cards

Census

A study that collects data from every member of a population.

10
New cards

Population Parameter

A numerical value that describes a characteristic of the entire population (e.g., μ, p).

11
New cards

Statistic (Sample Statistic)

A numerical value that describes a characteristic of a sample (e.g., x̄, p̂).

12
New cards

Representative Sample

A sample that accurately reflects the characteristics of the population.

13
New cards

Simple Random Sample (SRS)

Every individual and group of individuals has an equal chance of being selected.

14
New cards

Sampling Frame

The list or set of all individuals from which a sample is actually drawn.

15
New cards

Sampling Variability

Natural variation in statistics from one sample to another due to random selection.

16
New cards

Stratified Random Sample

The population is divided into groups (strata), and random samples are taken from each.

17
New cards

Cluster Sample

The population is divided into clusters, some clusters are randomly selected, and all individuals in chosen clusters are sampled.

18
New cards

Multistage Sample

Sampling carried out in several stages, combining different methods (e.g., choosing schools, then students).

19
New cards

Systematic Sample

Selecting every kth individual from a list after a random starting point.

20
New cards

Pilot Survey

A small, preliminary study to test survey methods or questions before the full survey.

21
New cards

Voluntary Response Bias

Bias that occurs when only people who choose to respond are included, often those with strong opinions.

22
New cards

Convenience Sample

Choosing individuals who are easiest to reach, often producing bias.

23
New cards

Undercoverage

When some members of the population are not included in the sample frame.

24
New cards

Nonresponse Bias

When selected individuals do not respond, and their responses would have differed from those who did.

25
New cards

Response Bias

When the wording of questions or interviewer behavior influences responses inaccurately.

26
New cards

Observational Study

Researchers observe individuals without influencing them or imposing treatments.

27
New cards

Retrospective Study

Looks backward in time at existing data on past behaviors or outcomes.

28
New cards

Prospective Study

Follows individuals into the future to record outcomes as they occur.

29
New cards

Experiment

A study where researchers deliberately apply treatments to measure their effect on a response variable.

30
New cards

Random Assignment (Treatment)

Using chance to assign subjects to different treatments in an experiment.

31
New cards

Factor

An explanatory variable that is controlled and varied by the experimenter.

32
New cards

Experimental Units

The individuals or objects to which treatments are applied (subjects if they're people).

33
New cards

Level

A specific value of a factor (e.g., 10mg, 20mg, 30mg of a drug).

34
New cards

Treatment

A specific combination of factor levels applied to experimental units.

35
New cards

Principles of Experimental Design

The key ideas: control, randomization, and replication to reduce bias and variability.

36
New cards

Completely Randomized Design

All experimental units are assigned to treatments completely by chance.

37
New cards

Statistically Significant

An observed effect large enough that it is unlikely to have occurred by random chance.

38
New cards

Control Group

A group that does not receive the treatment, used for comparison.

39
New cards

Blinding

Keeping participants (and sometimes experimenters) unaware of which treatment is given to avoid bias.

40
New cards

Single-blind / Double-blind

Single-blind: either subjects or experimenters don't know treatment assignment. Double-blind: both are unaware.

41
New cards

Placebo

A fake treatment given to control groups to test the psychological effect of treatment.

42
New cards

Placebo Effect

When subjects respond to a placebo because they believe they are receiving real treatment.

43
New cards

Blocking

Grouping experimental units by a known variable before random assignment to control its effect.

44
New cards

Randomized Block Design

Random assignment of treatments occurs separately within each block.

45
New cards

Matching

Pairing subjects that are similar in key ways to compare treatment effects directly.

46
New cards

Confounding (Variable)

When the effects of two variables cannot be separated, making it unclear which caused the outcome.

47
New cards

Lurking Variable

A variable not included in the study that may influence the relationship between explanatory and response variables.