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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. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
confounded
single-blind
pie chart
strength
2. To be valid - an experiment must assign experimental units to treatment groups at random
range
conditional distribution
population
random assignment
3. Bias introduced to a sample when a large fraction of those sampled fails to respond
comparing distributions
randomized block
nonresponse bias
model
4. Places in order the effects that many re-expressions have on the data
standardized value
sampling variability
lurking variable
ladder of powers
5. Summarized with the mean or the median
spread
center
model
simple random sample
6. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
shape
convenience sample
68-95-99.7 rule
unimodal
7. Systematically recorded information - whether numbers or labels - together with its context
data
pie chart
5-number summary
frequency table
8. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
distribution
marginal distribution
lurking variable
standardized value
9. When either those who could influence or evaluate the results is blinded
least squares
bimodal
outcome
single-blind
10. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
random numbers
least squares
center
standardizing
11. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
single-blind
standard deviation
z-score
double-blind
12. A numerically valued attribute of a model for a population
mode
outliers
population parameter
sampling variability
13. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
skewed
sampling frame
placebo effect
cluster sample
14. All experimental units have an equal chance of receiving any treatment
sampling variability
center
completely randomized design
case
15. A sample drawn by selecting individuals systematically from a sampling frame
normal percentile
blinding
linear model
systematic sample
16. 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
random
undercoverage
quartile
nonresponse bias
17. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
subset
data
slope
control group
18. A study based on data in which no manipulation of factors has been employed
correlation
changing center and spread
observational study
center
19. A variable in which the numbers act as numerical values; always has units
standardized value
completely randomized design
mean
quantitative variable
20. 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
nonresponse bias
slope
cluster sample
context
21. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
multimodal
distribution
changing center and spread
22. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
regression line
symmetric
least squares
population parameter
23. Shows the relationship between two quantitative variables measured on the same cases
residuals
skewed
scatterplots
quartile
24. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
changing center and spread
residuals
response bias
representative
25. A representative subset of a population - examined in hope of learning about the population
sample
dotplot
symmetric
bias
26. The sequence of several components representing events that we are pretending will take place
random
skewed
trial
unimodal
27. When doing this - consider their shape - center - and spread
comparing distributions
normal percentile
retrospective study
voluntary response bias
28. Displays data that change over time
timeplot
percentile
double-blind
range
29. Value calculated from data to summarize aspects of the data
statistic
strength
linear model
spread
30. A list of individuals from whom the sample is drawn
pie chart
extrapolation
sampling frame
outliers
31. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels
experiment
blinding
histogram
scatterplots
32. The sum of squared deviations from the mean - divided by the count minus one
random assignment
bias
variance
simple random sample
33. The natural tendency of randomly drawn samples to differ
observational study
ladder of powers
random
sampling variability
34. Distributions with two modes
normal probability plot
conditional distribution
rescaling
bimodal
35. 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
sampling frame
stem-and-leaf display
range
leverage
36. An event is this if we know what outcomes could happen - but not which particular values will happen
simple random sample
experimental units
random assignment
random
37. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
interquartile range
skewed
sample survey
prospective study
38. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
outliers
experimental units
multimodal
frequency table
39. Anything in a survey design that influences response
experiment
population
response bias
sampling variability
40. Holds information about the same characteristic for many cases
percentile
conditional distribution
variable
histogram
41. The ____ we care about most is straight
form
nonresponse bias
model
skewed
42. 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
r2
sample
timeplot
representative
43. Numerically valued attribute of a model
center
conditional distribution
parameter
re-express data
44. Extreme values that don't appear to belong with the rest of the data
standardizing
outliers
leverage
sampling variability
45. The number of individuals in a sample
simpson's paradox
predicted value
sample size
experiment
46. Found by substituting the x-value in the regression equation; they're the values on the fitted line
intercept
range
predicted value
pie chart
47. Summarized with the standard deviation - interquartile range - and range
multistage sample
intercept
convenience sample
spread
48. The ith ___ is the number that falls above i% of the data
response bias
contingency table
percentile
random
49. An equation or formula that simplifies and represents reality
comparing distributions
randomized block
model
timeplot
50. Graphs a dot for each case against a single axis
unimodal
direction
sampling variability
dotplot