Quiz about AP Statistics Vocabulary

Question 1

What does s_x stand for?

Accepted Answer

Sample standard deviation

Answer

Population standard deviation

Answer

Population mean

Answer

Sample mean

Question 2

What does r stand for?

Accepted Answer

correlation coefficient

Answer

coefficient of determination

Answer

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

Answer

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

Question 3

What does r² stand for?

Accepted Answer

coefficient of determination

Answer

correlation coefficient

Answer

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

Answer

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

Question 4

The chance that a sample procedure produces a value as or more extreme than one obtained.

Accepted Answer

p-value

Answer

proportion

Answer

probability

Answer

population

Question 5

A data set can have more than one median?

Accepted Answer

False

Answer

True

Question 6

A data set can have more than one mode

Accepted Answer

True

Answer

False

Question 7

Which method of sampling is used in this situation:
Putting all 50 states into groups and sampling each group.

Accepted Answer

C. Stratified Sampling

Answer

A. Random Sampling

Answer

B. Systematic Sampling

Answer

D. Cluster Sampling

Question 8

Which method of sampling is used in this situation:
Using a computer program to randomly select people from a phonebook to sample.

Accepted Answer

A. Random Sampling

Answer

B. Systematic Sampling

Answer

C. Stratified Sampling

Answer

D. Cluster Sampling

Question 9

Which method of sampling is used in this situation:
Putting the populations of a few Grant County schools into a group and sampling them

Accepted Answer

D. Cluster Sampling

Answer

A. Random Sampling

Answer

B. Systematic Sampling

Answer

C. Stratified Sampling

Question 10

A study that involves no researcher intervention is called a(n):

Accepted Answer

C. Observational study

Answer

A. Experimental study

Answer

B. Non-involvement study

Answer

D. Quasi-experimental study

Question 11

A variable that interferes with other variables in the study is called a(n):

Accepted Answer

A. Confounding variable

Answer

B. Explanatory variable

Answer

C. Outcome variable

Answer

D. Interfering variable

Question 12

True or False: Continuous variables can be counted.

Accepted Answer

False

Answer

True

Question 13

What are quartiles?

Accepted Answer

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%.

Answer

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.

Answer

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

Answer

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

Question 14

What is the five number summary?

Accepted Answer

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

Answer

Measures of variability for the entire population.

Answer

The middle value in the ordered list of sample observations.

Answer

The most frequently used measures of variability for sample data.

Question 15

What is the Empirical Rule?

Accepted Answer

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.

Answer

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).

Answer

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

Answer

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.

Question 16

This quantity gives the distance between an observation and the mean expressed as a certain number of standard deviations.

Accepted Answer

z score

Answer

rth percentile

Answer

boxplot

Answer

population mean

Question 17

Displays the count (frequency) of observations in each category or class.

Accepted Answer

frequency table

Answer

contingency table

Answer

segmented bar chart

Question 18

When a distribution is not symmetric and one tail stretches farther than the other.

Accepted Answer

skewed distribution

Answer

distribution

Answer

symmetric distribution

Answer

uniform distribution

Question 19

look for: single vs. multiple modes, symmetry vs. skewness, outliers and gaps

Accepted Answer

Shape

Answer

Mean

Answer

Range

Answer

Gap

Question 20

displays the 5 number summary as a central box, whiskers that extend to the nonoutlying data values, and any outliers shown

Accepted Answer

boxplot

Answer

dotplot

Answer

frequency table

Answer

histogram

Question 21

A numerical summary of how tightly the values are clustered around the center. Include IQR and standard deviation.

Accepted Answer

spread

Answer

shape

Answer

mode

Answer

range

Question 22

Distance between highest and lowest scores in a set of data.

Accepted Answer

Range

Answer

Mode

Answer

Median

Answer

Mean

Question 23

uses adjacent bars to show the distribution of a quantitative variable

Accepted Answer

Histogram

Answer

Bar Chart

Answer

Pie Chart

Answer

Line graph

Question 24

Distribution with two modes.

Accepted Answer

bimodal

Answer

unimodal

Answer

multimodal

Answer

uniform

Question 25

A measure of variability that describes an average distance of every score from the mean.

Accepted Answer

standard deviation

Answer

variance

Answer

IQR

Answer

gap

Question 26

Which of the following best describes a Type I error?

Accepted Answer

The null is true, but we mistakenly reject it.

Answer

The null is false and we reject it.

Answer

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

Answer

The null is true but we fail to reject it.

Answer

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

Question 27

To test a claim about a mean, when the population standard deviation is unknown we use:

Accepted Answer

t procedures

Answer

z procedures

Answer

Pythagorean Theorem

Answer

np > 10 and n(1-p) > 10

Question 28

When p-value is greater than alpha we:

Accepted Answer

Fail to reject Ho

Answer

Accept Ho

Answer

Accept Ha

Answer

Reject Ho

Question 29

What is the Power of a test?

Accepted Answer

The probability that we correctly reject a false null.

Answer

A strong force

Answer

The probability that we correctly accept a true null.

Answer

How tough it is.

Question 30

Which of the following best describes a type II error?

Accepted Answer

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

Answer

The null is true, but we mistakenly reject it.

Answer

The null is false and we reject it.

Answer

The null is true but we fail to reject it.

Answer

Te null is false, and we reject it.

Question 31

What does it mean when a test is statistically significant?

Accepted Answer

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

Answer

it has reached alpha level status

Answer

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

Answer

it is important in practical terms

Question 32

How can you reduce both Type I and Type II errors?

Accepted Answer

increase the sample size

Answer

it can't be reduced

Answer

redo the tests

Answer

tamper with the data

Question 33

What do we use to estimate unknown parameters?

Accepted Answer

Confidence Interval

Answer

Hypothesis Test

Answer

Trig Identity

Answer

Guess and check

Question 34

groups of similar individuals in a sample

Accepted Answer

strata

Answer

cluster

Answer

block

Answer

experimental units

Question 35

Voluntary Response...

Accepted Answer

individuals choose on their own to participate in the sample

Answer

systematically favoring certain outcomes

Answer

individuals are chosen based on who is easily available

Answer

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

Question 36

Systematically favoring certain outcomes

Accepted Answer

bias

Answer

response bias

Answer

confounding

Answer

non response

Question 37

Under coverage is

Accepted Answer

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

Answer

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

Answer

a specific condition applied to the individuals

Answer

individuals choose on their own to participate in the sample

Question 38

n individuals chosen in such a way that each group of n has an equal chance of being the sample selected

Accepted Answer

simple random sample

Answer

stratified random sample

Answer

convenience sample

Answer

cluster sample

Question 39

Deliberately imposes some treatment on individuals to measure their response

Accepted Answer

experiment

Answer

observational study

Answer

survey

Answer

random sampling

Question 40

the explanatory variables in an experiment

Accepted Answer

factors

Answer

subjects

Answer

treatments

Answer

experimental units

Question 41

people used in an experiment

Accepted Answer

subjects

Answer

factors

Answer

experimental units

Answer

treatments

Question 42

observes individuals and measures variables of interest only

Accepted Answer

observational study

Answer

experiment

Answer

survey

Answer

random sampling

Question 43

the entire group of individuals we want information about

Accepted Answer

population

Answer

sample

Answer

cluster

Answer

strata

Question 44

part or subgroup of the population we examine to gather information

Accepted Answer

sample

Answer

cluster

Answer

population

Answer

strata

Question 45

group of individuals that are located near each other

Accepted Answer

cluster

Answer

sample

Answer

population

Answer

strata

Question 46

individuals are chosen based on who is easily available

Accepted Answer

convenience sample

Answer

simple random sample

Answer

cluster sample

Answer

voluntary sample

Question 47

sampling design that requires dividing the population into strata and random samples are drawn from each stratum

Accepted Answer

stratified random sample

Answer

simple random sample

Answer

cluster sample

Answer

convenience sample

Question 48

when an individual chosen for the sample can't be contacted or refuses to particpate

Accepted Answer

nonresponse

Answer

undercoverage

Answer

response bias

Answer

bias

Question 49

experimental units

Accepted Answer

individuals on which an experiment is done

Answer

people used in an experiment

Answer

a specific condition applied to the individuals

Answer

the explanatory variables in an experiment

Question 50

a specific condition applied to the individuals

Accepted Answer

treatment

Answer

factor

Answer

level

Answer

experimental unit

Question 51

when one party knows and the other doesn't in an experiment

Accepted Answer

single blind

Answer

double blind

Answer

block

Answer

matched pairs

Question 52

Placebo effect

Accepted Answer

the tendency to show a response even when a dummy treatment is used

Answer

individuals assigned to a dummy or baseline treatment level

Answer

using enough individuals in each group

Answer

assigning individuals at random to treatments using a chance process

Question 53

control group

Accepted Answer

individuals assigned to a dummy or baseline treatment level

Answer

assigning of individuals at random to treatments using a chance process

Answer

using enough individuals in each treatment group

Answer

showing a response when a dummy treatment is administered

Question 54

the assigning of individuals at random to treatments using a chance process

Accepted Answer

random assignment

Answer

random sampling

Answer

block design

Answer

matched pairs

Question 55

when an observed difference is too large to believe that it is likely to have occurred naturally

Accepted Answer

statistically significant

Answer

placebo effect

Answer

completely randomized design

Answer

replication

Question 56

replication

Accepted Answer

using enough individuals in each treatment group

Answer

neither the subject nor those who interact know which treatment is being imposed

Answer

the assigning of individuals at random to treatments using a chance process

Answer

individuals assigned to a dummy or baseline treatment

Question 57

neither the subject nor those who interact know which treatment is being imposed

Accepted Answer

double blind

Answer

single blind

Answer

cluster sampling

Answer

control group

Question 58

group of individuals that are known before the experiment to be similar in some way

Accepted Answer

block

Answer

strata

Answer

control group

Answer

cluster

Question 59

subjects who are similar in ways are grouped together and them compared with each other on the variable of interest

Accepted Answer

matched pairs

Answer

strata

Answer

cluster

Answer

control group

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