The lower quartile separates the smallest 25% of the data from the remaining 75%, and the upper quartile separates the largest 25% from the smallest 75%.

A measure of center in which the observations are first ordered from smallest to largest, one or more observations are deleted from each end, and the remaining ones are averaged.

A summary of a data set that includes the minimum, lower quartile, median, upper quartile, and maximum.

The value such that r% of the observations in the data set fall at or below that value.

What is the five number summary?

A summary of a data set that includes the minimum, lower quartile, median, upper quartile, and maximum.

Measures of variability for the entire population.

The middle value in the ordered list of sample observations.

The most frequently used measures of variability for sample data.

What is the Empirical Rule?

This rule gives the approximate percentage of observations within 1 standard deviation (68%), 2 standard deviations (95%), and 3 standard deviations (99.7%) of the mean when the histogram is well approximated by a normal curve.

The most frequently used measure of center of a sample. It can be very sensitive to the presence of even a single outlier (unusually large or small observation).

A picture that conveys information about the most important features of a numerical data set: center, spread, extent of skewness, and presence of outliers.

This quantity gives the distance between an observation and the mean expressed as a certain number of standard deviations. It is positive (negative) if the observation lies above (below) the mean.

Which of the following best describes a Type I error?

The null is true, but we mistakenly reject it.

The null is false and we reject it.

The null is false, but we fail to reject it.

The null is true but we fail to reject it.

The null is true, and we fail to reject it.

Margin of error equals:

Critical Value ∗ standard Error

What is the Power of a test?

The probability that we correctly reject a false null.

The probability that we correctly accept a true null.

Which of the following best describes a type II error?

The null is false, but we fail to reject it.

The null is true, but we mistakenly reject it.

The null is false and we reject it.

The null is true but we fail to reject it.

Te null is false, and we reject it.

What does it mean when a test is statistically significant?

the test statistic had a P-value lower than the alpha level

it has reached alpha level status

the test statistic had a P-value higher than the alpha level

it is important in practical terms

Voluntary Response...

individuals choose on their own to participate in the sample

systematically favoring certain outcomes

individuals are chosen based on who is easily available

when some groups in the population are left out of the process

when some groups in the population are left out of the process of choosing the sample

when an individual chosen can't be contacted or refuses to participate

a specific condition applied to the individuals

individuals choose on their own to participate in the sample

AP Statistics Vocabulary

Mathematics

12th Grade

CCSS covered

Used 57+ times

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69 questions

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MULTIPLE CHOICE QUESTION

1 min • 1 pt

What does μ stand for?

Population standard deviation

Population mean

Sample standard deviation

Sample mean

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What does σ stand for?

Population standard deviation

Population mean

Sample standard deviation

Sample mean

What does s_x stand for?

Population standard deviation

Population mean

Sample standard deviation

Sample mean

What does x̄ stand for?

Population standard deviation

Population mean

Sample standard deviation

Sample mean

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does α stand for?

Type I Error

Type II Error

concfidence level

Power

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does β stand for?

Type I Error

Type II Error

concfidence level

Power

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the equation ŷ = b₁x + b₀; what does b₀ stand for?

y-intercept of the line of best fit (LOBF) for a population

y-intercept of the line of best fit (LOBF) for a sample

slope of the line of best fit (LOBF) for a population

slope of the line of best fit (LOBF) for a sample

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