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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. Places in order the effects that many re-expressions have on the data
median
ladder of powers
shifting
units
2. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
systematic sample
census
outlier
3. A normal model with a mean of 0 and a standard deviation of 1
symmetric
normal percentile
standard normal model
prospective study
4. A point that does not fit the overall pattern seen in the scatterplot
outlier
parameter
r2
rescaling
5. The distribution of a variable restricting the who to consider only a smaller group of individuals
convenience sample
lurking variable
symmetric
conditional distribution
6. Design Randomization occurring within blocks
timeplot
randomized block
randomization
variable
7. The specific values that the experimenter chooses for a factor
normal model
normal probability plot
level
rescaling
8. When either those who could influence or evaluate the results is blinded
variable
single-blind
re-express data
sample
9. 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
interquartile range
variable
undercoverage
census
10. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values
median
retrospective study
regression line
histogram
11. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
representative
prospective study
random
treatment
12. When groups of experimental units are similar - it is a good idea to gather them together into these
stem-and-leaf display
standardized value
data
block
13. The number of individuals in a sample
ladder of powers
representative
random
sample size
14. Gives the possible values of the variable and the relative frequency of each value
standard normal model
data table
distribution
systematic sample
15. A numerical measure of the direction and strength of a linear association
parameter
subset
correlation
influential point
16. Summarized with the mean or the median
center
influential point
convenience sample
census
17. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
shifting
bimodal
ladder of powers
tails
18. Values of this record the results of each trial with respect to what we were interested in
re-express data
undercoverage
nonresponse bias
response variable
19. The most basic situation in a simulation in which something happens at random
normal percentile
lurking variable
simulation component
units
20. An individual about whom or which we have data
case
outliers
shape
tails
21. Summarized with the standard deviation - interquartile range - and range
correlation
level
conditional distribution
spread
22. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x
ladder of powers
retrospective study
population parameter
r2
23. A treatment known to have no effect - administered so that all groups experience the same conditions
influential point
placebo
response variable
changing center and spread
24. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
shape
stem-and-leaf display
slope
stratified random sample
25. 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
uniform
experiment
random assignment
marginal distribution
26. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
systematic sample
placebo
response
27. Shows a bar representing the count of each category in a categorical variable
ladder of powers
bar chart
simpson's paradox
categorical variable
28. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
re-express data
experiment
timeplot
29. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
stem-and-leaf display
strength
matching
scatterplots
30. The ith ___ is the number that falls above i% of the data
standard normal model
simpson's paradox
systematic sample
percentile
31. Numerically valued attribute of a model
statistic
parameter
randomized block
interquartile range
32. Bias introduced to a sample when a large fraction of those sampled fails to respond
matched
data table
nonresponse bias
frequency table
33. The difference between the lowest and highest values in a data set
simulation component
timeplot
r2
range
34. Control - randomize - replicate - block
mean
randomization
principles of experimental design
normal percentile
35. Any attempt to force a sample to resemble specified attributes of the population
matching
undercoverage
sampling variability
standard normal model
36. An event is this if we know what outcomes could happen - but not which particular values will happen
statistically significant
outcome
quantitative variable
random
37. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
context
tails
blinding
38. Value found by subtracting the mean and dividing by the standard deviation
blinding
standardized value
linear model
population parameter
39. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
placebo
multistage sample
regression to the mean
undercoverage
40. A variable whose values are compared across different treatments
simpson's paradox
response
nonresponse bias
stem-and-leaf display
41. Distributions with more than two modes
regression line
normal probability plot
leverage
multimodal
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
area principle
data
mode
lurking variable
43. 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
statistically significant
quantitative variable
area principle
contingency table
44. The entire group of individuals or instances about whom we hope to learn
mean
population
matched
conditional distribution
45. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
distribution
least squares
leverage
single-blind
46. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
boxplot
trial
unimodal
5-number summary
47. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
standardizing
categorical variable
sample size
confounded
48. 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
quantitative variable
random numbers
outlier
49. When both those who could influence and evaluate the results are blinded
retrospective study
normal model
predicted value
double-blind
50. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
convenience sample
outlier
factor