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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. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
treatment
undercoverage
shifting
2. An arrangement of data in which each row represents a case and each column represents a variable
data table
data
skewed
voluntary response bias
3. A representative subset of a population - examined in hope of learning about the population
leverage
undercoverage
distribution
sample
4. Places in order the effects that many re-expressions have on the data
ladder of powers
factor
matching
direction
5. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
range
data
boxplot
6. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sample survey
systematic sample
regression line
shifting
7. Doing this is equivalent to changing its units
normal probability plot
categorical variable
stratified random sample
changing center and spread
8. Sampling schemes that combine several sampling methods
statistically significant
extrapolation
multistage sample
experimental units
9. Design Randomization occurring within blocks
lurking variable
systematic sample
randomized block
uniform
10. When an observed difference is too large for us to believe that is is likely to have occurred naturally
retrospective study
statistically significant
placebo effect
direction
11. Distributions with two modes
outcome
correlation
bimodal
prospective study
12. When either those who could influence or evaluate the results is blinded
case
quantitative variable
nonresponse bias
single-blind
13. An equation of the form y-hat = b0 + b1x
confounded
linear model
simple random sample
outliers
14. A numerical summary of how tightly the values are clustered around the 'center'
spread
voluntary response bias
correlation
parameter
15. The specific values that the experimenter chooses for a factor
nonresponse bias
comparing distributions
level
skewed
16. A normal model with a mean of 0 and a standard deviation of 1
categorical variable
simulation component
standardized value
standard normal model
17. A study based on data in which no manipulation of factors has been employed
strength
spread
statistic
observational study
18. The distribution of a variable restricting the who to consider only a smaller group of individuals
independence
control group
conditional distribution
symmetric
19. Individuals on whom an experiment is performed
variable
experimental units
simple random sample
simpson's paradox
20. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
correlation
leverage
convenience sample
bias
21. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
nonresponse bias
boxplot
68-95-99.7 rule
treatment
22. The sum of squared deviations from the mean - divided by the count minus one
sampling variability
skewed
variance
outlier
23. A sampling design in which entire groups are chosen at random
contingency table
5-number summary
confounded
cluster sample
24. The natural tendency of randomly drawn samples to differ
median
sampling variability
spread
case
25. All experimental units have an equal chance of receiving any treatment
completely randomized design
response
outlier
unimodal
26. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
unimodal
tails
parameter
linear model
27. An individual about whom or which we have data
bias
re-express data
simpson's paradox
case
28. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
z-score
least squares
slope
observational study
29. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
placebo effect
quantitative variable
lurking variable
30. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
leverage
multimodal
cluster sample
31. 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
leverage
lurking variable
scatterplots
experimental units
32. 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
ladder of powers
outcome
units
33. 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
population
factor
distribution
context
34. A variable that names categories (whether with words or numerals)
center
subset
dotplot
categorical variable
35. When groups of experimental units are similar - it is a good idea to gather them together into these
influential point
tails
changing center and spread
block
36. The difference between the first and third quartiles
interquartile range
outlier
nonresponse bias
contingency table
37. Graphs a dot for each case against a single axis
confounded
observational study
dotplot
sample survey
38. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
treatment
re-express data
5-number summary
quartile
39. Shows the relationship between two quantitative variables measured on the same cases
cluster sample
scatterplots
outcome
random assignment
40. When doing this - consider their shape - center - and spread
comparing distributions
case
response bias
timeplot
41. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
extrapolation
trial
range
standardizing
42. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
changing center and spread
population parameter
mode
regression to the mean
43. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative
direction
response variable
extrapolation
trial
44. 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
placebo
intercept
normal probability plot
simulation
45. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
lurking variable
categorical variable
bias
intercept
46. Summarized with the standard deviation - interquartile range - and range
conditional distribution
normal model
treatment
spread
47. To be valid - an experiment must assign experimental units to treatment groups at random
cluster sample
level
marginal distribution
random assignment
48. Extreme values that don't appear to belong with the rest of the data
outliers
center
correlation
subset
49. In a statistical display - each data value should be represented by the same amount of area
area principle
random assignment
form
influential point
50. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
residuals
confounded
predicted value
regression line