AP Stats Unit 1 definition Review

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Last updated 3:30 AM on 10/3/26
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94 Terms

1
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What is statistics?

Collecting, analyzing, interpreting, and communicating data.

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What is an individual?

A person or object described by the data.

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What is a variable?

A characteristic recorded for each individual.

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What is a population?

The entire group we want information about.

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What is a sample?

A subset of the population actually studied.

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What is a parameter?

A numerical summary of a population.

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What is a statistic?

A numerical summary calculated from a sample.

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What is a categorical variable?

A variable that places individuals into groups or categories.

9
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What is a quantitative variable?

A numerical variable where arithmetic has meaningful interpretation.

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Can a variable with numbers be categorical?

Yes. Jersey numbers are categorical because arithmetic is not meaningful.

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What is frequency?

The number of individuals in a category or group.

12
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What is relative frequency?

Frequency divided by the total; often written as a proportion or percent.

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What graph is used for one categorical variable?

Bar graph or pie chart.

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What graph is used for one quantitative variable?

Dotplot, histogram, stemplot, or boxplot.

15
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Bar graph vs. histogram?

Bar graphs show categories; histograms show quantitative intervals.

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What does SOCS stand for?

Shape, Outliers, Center, Spread.

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What should you describe first in SOCS?

Shape: symmetric, skewed, uniform, bimodal, or another pattern.

18
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What is right skew?

A distribution with a long tail extending toward larger values.

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What is left skew?

A distribution with a long tail extending toward smaller values.

20
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In right skew, how do mean and median usually compare?

Mean is usually greater than the median.

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In left skew, how do mean and median usually compare?

Mean is usually less than the median.

22
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What is the mean?

The sum of all values divided by the number of values.

23
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What is the median?

The middle value after observations are ordered.

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Which is more resistant: mean or median?

Median; it is less affected by outliers and skewness.

25
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What is range?

Maximum minus minimum.

26
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What is IQR?

Q3 minus Q1; it measures the spread of the middle 50%.

27
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What does standard deviation measure?

The typical distance of observations from the mean.

28
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When is mean and SD usually appropriate?

For roughly symmetric distributions without strong outliers.

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When are median and IQR usually appropriate?

For skewed distributions or distributions with outliers.

30
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What is a five-number summary?

Minimum, Q1, median, Q3, and maximum.

31
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What does a boxplot display?

The five-number summary and possible outliers.

32
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What part of a boxplot represents the IQR?

The box from Q1 to Q3.

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How do you calculate an outlier fence?

Lower: Q1 − 1.5(IQR); upper: Q3 + 1.5(IQR).

34
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What makes a good distribution comparison?

Compare shape, center, spread, and outliers in context.

35
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How should you interpret a statistic on an FRQ?

State the value and explain what it means in the problem's context.

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What is an observational study?

Researchers observe individuals without assigning treatments.

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Can an observational study establish causation?

Generally no; it can show association but not establish causation.

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What is an experiment?

A study where researchers assign treatments to experimental units.

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What can a well-designed randomized experiment provide?

Evidence for a cause-and-effect relationship.

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What is an SRS?

A sample where every possible sample of a given size has equal chance of selection.

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What is stratified random sampling?

Split into groups, then randomly sample from each group.

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What is cluster sampling?

Randomly select entire natural groups and sample everyone in them.

43
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What is a convenience sample?

A sample chosen because individuals are easy to reach.

44
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What is voluntary response bias?

People choose to participate, often attracting those with strong opinions.

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What is undercoverage?

Some population members are inadequately represented or excluded.

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What is nonresponse bias?

Selected individuals do not respond, potentially making results unrepresentative.

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What is response bias?

Responses are systematically inaccurate because of wording or other influences.

48
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What is an experimental unit?

An individual that receives a treatment in an experiment.

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What is a subject?

An experimental unit when the individuals are human.

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What is a treatment?

A specific condition imposed on experimental units.

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What is a control group?

A comparison group that does not receive the experimental treatment.

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Why use random assignment?

It helps create comparable treatment groups and reduces confounding.

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What is replication in an experiment?

Using enough experimental units in each treatment group.

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What is control in experimental design?

Keep conditions similar except for the treatments being compared.

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What is blocking?

Group similar subjects first, then randomly assign within each group.

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What is confounding?

Effects of two variables are mixed so their individual effects cannot be separated.

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What is a completely randomized design?

Randomly assign all subjects directly to treatment groups.

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What is a randomized block design?

Form similar blocks, then randomly assign treatments within each block.

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What does random sampling help with?

Generalizing results from the sample to the population.

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What does random assignment help with?

Establishing cause-and-effect in an experiment.

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Random sampling vs. random assignment?

Sampling selects subjects; assignment places subjects into treatments.

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What does association mean?

Two variables are related, but the relationship does not prove causation.

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What does causation mean?

Changes in one variable produce changes in another.

64
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What is the main AP trap with correlation?

Association alone does not prove that one variable causes another.

65
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If data are strongly skewed, which center is preferred?

Median, because it is resistant to skewness.

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If data contain extreme outliers, which spread is preferred?

IQR, because it is resistant to outliers.

67
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What is the formula for relative frequency?

Relative frequency = frequency ÷ total.

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What is the formula for IQR?

IQR = Q3 − Q1.

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What is the formula for range?

Range = maximum − minimum.

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What does Q1 represent?

About 25% of observations are at or below Q1.

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What does Q3 represent?

About 75% of observations are at or below Q3.

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What percentage lies between Q1 and Q3?

Approximately 50% of the observations.

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What does the median divide?

The ordered data into two halves.

74
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What does a large IQR indicate?

Greater spread among the middle 50% of observations.

75
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What does a small IQR indicate?

Less spread among the middle 50% of observations.

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What does a large standard deviation indicate?

Observations tend to be farther from the mean.

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What does a small standard deviation indicate?

Observations tend to be closer to the mean.

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What should an FRQ graph description include?

Shape, unusual features, center, spread, and context when appropriate.

79
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What should you compare between two distributions?

Shape, center, spread, and outliers.

80
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What is the main purpose of an experimental control group?

Provide a baseline for comparing the treatment's effects.

81
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Why is random assignment important?

It reduces systematic differences between treatment groups.

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Why is replication important?

It reduces the influence of random variation and strengthens evidence.

83
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Why might researchers use blocking?

To account for a variable that could affect the response.

84
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What is a lurking/confounding variable?

A variable that mixes with the treatment or explanatory variable's effect.

85
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Which graph is best for showing individual quantitative values?

A dotplot or stemplot, especially for smaller datasets.

86
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Which graph is useful for large quantitative datasets?

A histogram.

87
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Which graph is best for comparing medians and IQRs?

Side-by-side boxplots.

88
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What is a mode?

The most frequently occurring value or category.

89
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What does center mean when describing a distribution?

A typical or central value, often the mean or median.

90
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What does spread mean when describing a distribution?

How much the observations vary; examples include IQR, range, and SD.

91
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What is the safest FRQ comparison wording?

State which distribution has higher/lower center or greater/less spread in context.

92
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What should you avoid saying about a sample's results?

Avoid claiming causation when the study only shows association.

93
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What is the key difference between population and sample?

Population is the whole group; sample is the subset actually studied.

94
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What is the key difference between parameter and statistic?

Parameter describes a population; statistic describes a sample.