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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. The square root of the variance
units
spread
variable
standard deviation
2. A treatment known to have no effect - administered so that all groups experience the same conditions
data
placebo
normal probability plot
5-number summary
3. Sampling schemes that combine several sampling methods
factor
sample survey
correlation
multistage sample
4. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
outcome
mean
retrospective study
lurking variable
5. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
normal percentile
statistic
response
boxplot
6. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest
random numbers
range
linear model
matched
7. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
simple random sample
center
intercept
regression to the mean
8. A variable in which the numbers act as numerical values; always has units
quantitative variable
block
subset
population
9. The number of individuals in a sample
sample size
bimodal
random
outliers
10. The middle value with half of the data above and half below it
experimental units
stem-and-leaf display
median
matching
11. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
normal percentile
single-blind
treatment
form
12. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
dotplot
mean
nonresponse bias
unimodal
13. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
re-express data
convenience sample
outlier
center
14. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
statistic
standardizing
sample survey
sample size
15. A sampling design in which entire groups are chosen at random
case
systematic sample
prospective study
cluster sample
16. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
skewed
mean
placebo effect
uniform
17. The difference between the first and third quartiles
confounded
interquartile range
spread
stratified random sample
18. Systematically recorded information - whether numbers or labels - together with its context
block
units
mode
data
19. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
nonresponse bias
mean
5-number summary
range
20. An event is this if we know what outcomes could happen - but not which particular values will happen
simple random sample
standardized value
response
random
21. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
form
linear model
rescaling
bias
22. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
comparing distributions
units
variable
simulation
23. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
r2
median
tails
parameter
24. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
outlier
prospective study
rescaling
strength
25. Design Randomization occurring within blocks
multistage sample
quartile
standard deviation
randomized block
26. The most basic situation in a simulation in which something happens at random
simulation component
intercept
standard normal model
population parameter
27. An observational study in which subjects are followed to observe future outcomes
spread
prospective study
normal model
random assignment
28. Summarized with the mean or the median
center
distribution
random
least squares
29. Shows quantitative data values in a way that sketches the distribution of the data
standard deviation
factor
stem-and-leaf display
strength
30. Control - randomize - replicate - block
principles of experimental design
simpson's paradox
representative
normal percentile
31. Gives the possible values of the variable and the frequency or relative frequency of each value
outliers
sampling variability
random
distribution
32. An individual result of a component of a simulation
random
outcome
experimental units
histogram
33. 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
standard deviation
simulation
least squares
percentile
34. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
strength
normal percentile
factor
35. A numerical summary of how tightly the values are clustered around the 'center'
completely randomized design
spread
response bias
units
36. 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
quartile
nonresponse bias
model
statistic
37. When both those who could influence and evaluate the results are blinded
placebo
double-blind
retrospective study
variable
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
random numbers
lurking variable
context
randomization
39. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition
normal probability plot
placebo
slope
matching
40. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
extrapolation
matching
contingency table
treatment
41. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
spread
factor
shape
stratified random sample
42. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate
spread
standardized value
intercept
contingency table
43. A numerically valued attribute of a model for a population
sample size
shape
treatment
population parameter
44. Useful family of models for unimodal - symmetric distributions
single-blind
normal model
marginal distribution
outliers
45. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
cluster sample
outcome
random numbers
least squares
46. Displays data that change over time
timeplot
ladder of powers
experimental units
spread
47. A variable whose values are compared across different treatments
simulation
spread
prospective study
response
48. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
population parameter
randomized block
quartile
voluntary response bias
49. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
observational study
quartile
range
50. A list of individuals from whom the sample is drawn
sampling frame
randomization
trial
statistic