SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
Test your basic knowledge |
AP Statistics Vocab
Start Test
Study First
Subjects
:
statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
frequency table
unimodal
tails
pie chart
2. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
linear model
standardized value
mode
control group
3. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
leverage
categorical variable
control group
treatment
4. A distribution is this if it's not symmetric and one tail stretches out farther than the other
statistic
lurking variable
skewed
randomized block
5. Values of this record the results of each trial with respect to what we were interested in
randomization
random numbers
retrospective study
response variable
6. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
least squares
placebo
simulation component
prospective study
7. A variable whose levels are controlled by the experimenter
contingency table
factor
census
slope
8. Value calculated from data to summarize aspects of the data
statistic
matched
normal probability plot
re-express data
9. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
unimodal
completely randomized design
bias
lurking variable
10. Summarized with the standard deviation - interquartile range - and range
matched
interquartile range
nonresponse bias
spread
11. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
lurking variable
variance
stem-and-leaf display
representative
12. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean
stratified random sample
r2
68-95-99.7 rule
residuals
13. A variable that names categories (whether with words or numerals)
statistic
timeplot
block
categorical variable
14. When doing this - consider their shape - center - and spread
mode
cluster sample
comparing distributions
standard normal model
15. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
residuals
independence
confounded
re-express data
16. Numerically valued attribute of a model
parameter
dotplot
interquartile range
response variable
17. The specific values that the experimenter chooses for a factor
blinding
standardizing
census
level
18. The ____ we care about most is straight
population parameter
form
multistage sample
least squares
19. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
68-95-99.7 rule
linear model
frequency table
boxplot
20. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
subset
mean
confounded
simulation
21. Individuals on whom an experiment is performed
experimental units
residuals
sampling variability
parameter
22. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
interquartile range
stratified random sample
rescaling
sample size
23. The sequence of several components representing events that we are pretending will take place
lurking variable
sample survey
trial
scatterplots
24. The natural tendency of randomly drawn samples to differ
sampling variability
standard deviation
placebo effect
outcome
25. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
symmetric
center
simple random sample
standard deviation
26. When either those who could influence or evaluate the results is blinded
single-blind
outlier
prospective study
sample survey
27. An equation of the form y-hat = b0 + b1x
representative
intercept
bimodal
linear model
28. Gives a value in 'y-units per x-unit'; changes of one unit in x are associated with changes of b1 units in predicted values of y
boxplot
standard normal model
slope
standardized value
29. A point that does not fit the overall pattern seen in the scatterplot
outlier
z-score
randomized block
experimental units
30. In a statistical display - each data value should be represented by the same amount of area
shape
simple random sample
area principle
cluster sample
31. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
uniform
outlier
center
32. Found by summing all the data values and dividing by the count
mean
simpson's paradox
re-express data
units
33. A variable whose values are compared across different treatments
scatterplots
representative
response
stratified random sample
34. The sum of squared deviations from the mean - divided by the count minus one
variance
standardizing
single-blind
influential point
35. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
random numbers
extrapolation
ladder of powers
interquartile range
36. A sample that consists of the entire population
residuals
census
z-score
experimental units
37. Doing this is equivalent to changing its units
changing center and spread
outlier
intercept
simple random sample
38. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
normal percentile
lurking variable
experiment
39. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
sampling variability
population
placebo effect
re-express data
40. Extreme values that don't appear to belong with the rest of the data
outliers
double-blind
extrapolation
quartile
41. Sampling schemes that combine several sampling methods
multistage sample
bimodal
lurking variable
cluster sample
42. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
normal percentile
68-95-99.7 rule
undercoverage
spread
43. A distribution that's roughly flat
standardized value
control group
uniform
prospective study
44. The number of individuals in a sample
sample size
sampling variability
sample survey
linear model
45. Shows a bar representing the count of each category in a categorical variable
changing center and spread
bar chart
multistage sample
residuals
46. Places in order the effects that many re-expressions have on the data
matching
experimental units
symmetric
ladder of powers
47. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table
5-number summary
contingency table
re-express data
marginal distribution
48. Consists of the individuals who are conveniently available
skewed
simulation
convenience sample
shape
49. A numerically valued attribute of a model for a population
block
standardizing
observational study
population parameter
50. Graphs a dot for each case against a single axis
dotplot
median
distribution
categorical variable
Sorry!:) No result found.
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests