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. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
z-score
outlier
mean
completely randomized design
2. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
form
population
prospective study
lurking variable
3. A variable whose values are compared across different treatments
marginal distribution
retrospective study
experiment
response
4. When either those who could influence or evaluate the results is blinded
treatment
center
ladder of powers
single-blind
5. The distribution of a variable restricting the who to consider only a smaller group of individuals
outlier
population
conditional distribution
retrospective study
6. An equation or formula that simplifies and represents reality
model
confounded
nonresponse bias
bimodal
7. All experimental units have an equal chance of receiving any treatment
pie chart
random
completely randomized design
simulation
8. Places in order the effects that many re-expressions have on the data
ladder of powers
block
standard deviation
variable
9. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
regression to the mean
histogram
median
stem-and-leaf display
10. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it
completely randomized design
tails
retrospective study
quartile
11. The sum of squared deviations from the mean - divided by the count minus one
variance
spread
range
principles of experimental design
12. Sampling schemes that combine several sampling methods
lurking variable
block
multistage sample
level
13. The sequence of several components representing events that we are pretending will take place
random
block
double-blind
trial
14. Doing this is equivalent to changing its units
changing center and spread
strength
block
undercoverage
15. The difference between the lowest and highest values in a data set
range
cluster sample
case
undercoverage
16. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model
simulation
outlier
data table
form
17. Value calculated from data to summarize aspects of the data
contingency table
re-express data
statistic
factor
18. A numerical measure of the direction and strength of a linear association
strength
correlation
placebo effect
standardized value
19. The difference between the first and third quartiles
interquartile range
double-blind
systematic sample
case
20. A list of individuals from whom the sample is drawn
cluster sample
trial
response variable
sampling frame
21. An equation of the form y-hat = b0 + b1x
linear model
symmetric
stratified random sample
voluntary response bias
22. Systematically recorded information - whether numbers or labels - together with its context
influential point
normal model
data
comparing distributions
23. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
predicted value
experiment
outlier
24. The number of individuals in a sample
factor
quartile
scatterplots
sample size
25. Found by summing all the data values and dividing by the count
independence
census
mean
symmetric
26. Any attempt to force a sample to resemble specified attributes of the population
outlier
normal percentile
matching
undercoverage
27. A variable in which the numbers act as numerical values; always has units
regression line
skewed
quantitative variable
representative
28. 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
undercoverage
lurking variable
census
experiment
29. Summarized with the mean or the median
experiment
center
stratified random sample
r2
30. A sample that consists of the entire population
least squares
census
block
multistage sample
31. 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
model
treatment
marginal distribution
simulation
32. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
lurking variable
rescaling
intercept
parameter
33. An individual about whom or which we have data
outliers
case
distribution
statistically significant
34. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
unimodal
standard normal model
boxplot
skewed
35. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
normal probability plot
prospective study
predicted value
36. When doing this - consider their shape - center - and spread
control group
comparing distributions
histogram
shifting
37. A variable whose levels are controlled by the experimenter
response variable
mean
factor
randomized block
38. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
units
case
context
nonresponse bias
39. When an observed difference is too large for us to believe that is is likely to have occurred naturally
spread
units
level
statistically significant
40. The middle value with half of the data above and half below it
least squares
percentile
contingency table
median
41. Distributions with more than two modes
rescaling
response
multimodal
nonresponse bias
42. A representative subset of a population - examined in hope of learning about the population
retrospective study
lurking variable
sample
parameter
43. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
slope
cluster sample
statistic
least squares
44. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
completely randomized design
random numbers
symmetric
direction
45. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
comparing distributions
sample survey
lurking variable
case
46. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
leverage
placebo effect
sample size
47. Individuals on whom an experiment is performed
placebo effect
data
experimental units
re-express data
48. An individual result of a component of a simulation
outcome
block
nonresponse bias
standard normal model
49. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
data table
comparing distributions
68-95-99.7 rule
leverage
50. Control - randomize - replicate - block
simpson's paradox
case
principles of experimental design
timeplot